Science Salary in Boise, ID

Position Overview: The Department of Radiologic Sciences at Boise State University invites you to join our innovative faculty for a rewarding career in Radiologic Sciences education. We are accepting applications for a full-time 10-month faculty position. Appointments will be made at the Associate Professor or Assistant Professor rank depending on qualifications. About us: Department of Radiologic Sciences employs 7 full-time faculty, 25 adjunct faculty and 35 affiliate. The educational experience in Radiologic Sciences programs promotes health advocacy, interdisciplinary collaboration, life-long learning and the development of individual professional qualities. Research endeavors of the department faculty include sonography transducer adaptors, radiation dose scale in exposure indicator range, radiation detection device variations, MRI DTI demonstration of repetitive head impacts, and post-concussive blood-based biomarkers. Boise State University is located along the banks of the Boise River and a short stroll from the state capitol. We are committed to an innovative, transformative, and equitable educational environment that supports student success, and advances Idaho and the world. Boise State is building an inclusive community of faculty and staff whose unique skills, cultural contributions, work history, and perspectives create a rich and rewarding academic experience for our students. Applications from individuals of all backgrounds and identities are welcomed. Learn more about faculty careers at Boise State and the City of Boise. Duties and Responsibilities: It is anticipated that this faculty position will participate in undergraduate programs. Candidates should be able to demonstrate effective and innovative teaching skills as well as participate in curriculum development. Academic pursuits and scholarly activities are encouraged. Innovative instructional on-campus and on-line delivery methods are supported. The ideal candidate should have experience in both teaching and clinical practice. Minimum Qualifications: Doctorate required ARRT RT(R) credentialed at a minimum, additional credentials preferred. Competence in specific clinical practice area of diagnostic radiology, additional modality experience preferred. Minimum 2 years of clinical experience as an ARRT registered radiographer A defined area of research and evidence of scholarly dissemination Preferred Qualifications: Prior teaching experience in a JRCERT accredited diagnostic radiology program Computed Tomography, Magnetic Resonance Imaging, Diagnostic Medical Sonography, Vascular Intervention, Cardiac Intervention, or other medical imaging credentials Three years academic teaching experience Undergraduate and/or Graduate level teaching experience. The successful candidate will possess the following knowledge, skills and abilities: Demonstrated advanced level of oral and written communication skills. Demonstrated ability to create, articulate, and assess course learning outcomes. Demonstrated effectiveness in creating course materials (syllabus, handouts, presentations, etc.) which enhance student interest and engagement. Demonstrated ability to assess student educational goals and to create graduation plans based on those goals. Demonstrated ability to work effectively with diverse populations. Demonstrated ability to manage effective, friendly, and civil working relationships with university and community members. Demonstrated problem solving and abstract thinking skills. Demonstrated ability to produce high quality work while working independently. Demonstrated ability to develop knowledge of, respect for, and skills to engage with those of other cultures or backgrounds. Salary and benefits: Salary commensurate with experience. Boise State University is committed to offering a benefits package that provides health and financial protection plans as well as resources to promote health and well-being. Our program provides flexibility so you can choose the benefits that are right for you and your family. Required Application Materials: Please submit all application materials via Boise State Career Site. Be sure to include with your application the following materials: CV/Resume that includes employment history (with dates). Cover letter that describes your interest in and qualifications for the position. Teaching evaluations demonstrating teaching effectiveness, if applicable. Contact information for 3 professional references. Statement on teaching and research philosophy. Closing Date: Review of applications will begin immediately and position will remain open until filled.Advertised: November 29, 2023 Mountain Standard Time Applications close:

Machine Learning Scientist IIRemote or Hybrid or On-site within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless health care experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members.We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems, for instance:Reducing our members' claim costs using both supervised and unsupervised approaches.Speeding up prior authorizations and appeals using NLP to understand clinical notes.Personalizing member engagement to promote the health and well-being of our members.Driving health equity across Cambia initiatives.And much more!As a Machine Learning Scientist II, you will play a vital role in understanding requirements, prototyping and building models, conducting experiments, and driving innovative solutions. Your passion for machine learning, deep learning, and NLP, coupled with your eagerness to learn and grow, will be instrumental in advancing Cambia's data-driven initiatives.Qualifications & Requirements:Academic degree (master's or PhD preferred) in Data Science, Computer Science, Statistics, or a related field.Machine learning: Strong mathematical foundation and understanding of the concepts underlying machine learning, deep learning, NLP, statistical modeling, and data analysis. Familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Understanding of standard algorithms (e.g., search & sort) and data structures, and their analysis.NLP: Expertise in NLP and experience using LLM and NLP libraries like NLTK, spaCy, or Hugging Face transformers is a plus.Model development and evaluation: Experience applying a variety of ML techniques and approaches to solve problems. Strong foundation in model evaluation, including metric development and selection.Familiarity with production systems: Basic understanding of software engineering principles and considerations for deploying ML models in production systems. Exposure to containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP) is helpful. Understanding of model monitoring and MLOps.Data preprocessing and analysis: Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy).Analytical mindset: Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.Healthcare knowledge: Previous experience is beneficial but not required.Responsibilities:Model prototyping and development: Use machine learning, deep learning, and NLP to prototype, develop, and refine models on top of our ML platform, leveraging best practices and established frameworks. Implement algorithms and techniques to meet requirements and objectives of specific business problems.Experimentation and evaluation: Conduct experiments and evaluations to assess the performance and effectiveness of different models and techniques. Develop metrics that reflect the needs of the business for their use cases. Analyze experimental results, interpret findings, and provide actionable recommendations.Model deployment and productionization: Work with ML Engineers to optimize and adapt models for real-time, scalable, and efficient performance. Collaborate with engineering and infrastructure teams to ensure seamless integration and deployment of models into production systems.Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where machine learning techniques can provide valuable insights and solutions.Data preprocessing and feature engineering: Implement robust and reusable data preprocessing and feature engineering pipelines to extract meaningful insights from raw data. Clean, transform, and prepare datasets to facilitate effective model training and evaluation.Continuous learning and innovation: Stay updated with the latest advancements in machine learning, deep learning, and NLP, particularly as applied in healthcare. Explore and evaluate new algorithms, frameworks, and tools to enhance model performance and efficiency.Work Environment:Work primarily performed in a hybrid environment consisting of in-office and working from home. Travel may be required, locally or out of state. The expected hiring range for a Machine Learning Scientist II is $119,900 - $162,200 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 15% . The current full salary range for this role is $112,000 - $184,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Position overview: The Department of Radiologic Sciences at Boise State University invites you to join our innovative faculty for a rewarding career in Radiologic Sciences education. We are accepting applications for a full-time 9-month faculty position. Appointments will be made at the Clinical Instructor, Clinical Assistant Professor or Clinical Associate Professor rank depending on qualifications. Preferred start date for this position is Fall 2024. Department overview: Department of Radiologic Sciences employs 7 full-time faculty, 30 adjunct faculty and 35 affiliate. The educational experience in Radiologic Sciences programs promotes health advocacy, interdisciplinary collaboration, life-long learning and growth as a healthcare professional. Degree plans offered by the department are all at the bachelor level. Campus-based programs include diagnostic radiology, diagnostic medical sonography, magnetic resonance imaging and computed tomography. Online associate to bachelor degree completion programs with clinical placement local to students include interventional radiology and interventional cardiology, as well as DMS, MRI, and CT. The department also offers a non-clinical online associate to bachelor degree program for students wishing to advance their degree. The department aims to be the educational resource students need to meet their educational and career goals. The programs and students thrive due to the incredible support of our affiliate clinical partners and commitment of faculty and staff to maintaining a positive, welcoming, and inclusive environment to work and grow. Endeavors of department faculty involved in research include radiation dose and detection devices, MRI DTI pre and post repetitive head impacts, post-concussive blood-based biomarkers, and cardiac rehabilitation program impact on occurrence of subsequent myocardial infarcts. About Boise State: Boise State University is located along the banks of the Boise River and a short stroll from the state capitol. We are committed to an innovative, transformative, and equitable educational environment that supports student success, and advances Idaho and the world. Boise State is building an inclusive community of faculty and staff whose unique skills, cultural contributions, work history, and perspectives create a rich and rewarding academic experience for our students. Applications from individuals of all backgrounds and identities are welcomed. Learn more about faculty careers at Boise State and the City of Boise. Minimum qualifications: Bachelor's Degree required for Clinical Instructor rank; Master's Degree required for Clinical Assistant and Clinical Associate ranks. ARRT RT(R) credentialed at a minimum, additional credentials preferred. Competence in specific clinical practice area of diagnostic radiology, additional modality experience preferred. Minimum 2 years of clinical experience as an ARRT registered radiographer. Preferred qualifications: Prior teaching experience in a JRCERT accredited diagnostic radiology program. Computed Tomography, Magnetic Resonance Imaging, Diagnostic Medical Sonography, Vascular Intervention, Cardiac Intervention, or other medical imaging credentials. Three years academic teaching experience. Undergraduate and/or Graduate level teaching experience. Required application materials: Please submit all application materials via Boise State Career Site. Be sure to include with your application the following materials: CV/Resume that includes employment history (with dates). Cover letter that describes your interest in and qualifications for the position. Statement on teaching philosophy. Teaching evaluations demonstrating teaching effectiveness, if applicable. Contact information for 3 professional references. Closing Date: Review of applications will begin immediately and will continue until the position is filled. Position will remain open until filled, with review to begin immediately. For questions regarding this position, please contact Leslie Kendrick, [email protected] or 208-426-3281. Salary and Benefits: Salary commensurate with experience. Boise State University is committed to offering a benefits package that provides health and financial protection plans as well as resources to promote health and well-being. Our program provides flexibility so you can choose the benefits that are right for you and your family. Advertised: April 2, 2024 Mountain Daylight Time Applications close:

Senior Machine Learning ScientistRemote or Hybrid within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless healthcare experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members. We are seeking a highly-skilled and experienced Senior Machine Learning Engineer to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems, for instance:Reducing our members' claim costs using both supervised and unsupervised approaches. Speeding up prior authorizations and appeals using NLP to understand clinical notes. Personalizing member engagement to promote the health and well-being of our members. Driving health equity across Cambia initiatives. And much more! As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML models to production and maintain their health and integrity while in production. Your expertise in machine learning, coupled with a strong background in software development, will be instrumental in driving the success of Cambia's AI/ML initiatives. Qualifications and Requirements:Academic degree (Masters or PhD preferred) in Computer Science, Engineering, or a related field. Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments. Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. Strong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost). Software development skills: Solid understanding of software engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Data preprocessing: Proficient in SQL and/or python data-processing libraries such as pandas, NumPy, etc. Collaborative mindset: Ability to work effectively with cross-functional teams to drive alignment and deliver high-quality solutions. Strong communication and collaboration skills are essential. Problem-solving and analytical thinking: Ability to analyze complex problems, break them down into manageable components, and propose innovative solutions. Strong analytical skills for evaluating system performance, identifying bottlenecks, and implementing optimizations. Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation and improve the ML platform. Healthcare knowledge: Previous experience is beneficial but not required. Responsibilities:ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. ML advancements: Keep abreast of the latest trends, research, and advancements in the field of machine learning. Share knowledge and insights with the team to drive innovation and continuous improvement within the ML platform. Work Environment:Work primarily performed in a hybrid environment consisting of in-office and working from home. Travel may be required, locally or out of state."The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,70 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $136,000 - $223,000The expected hiring range for a Senior Machine Learning Scientist II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is$165,000 - $270,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Job DescriptionK12, a Stride Company, believes in Education for ANY ONE. We provide families an online option for a high-quality, personalized education experience. Students can thrive, find their passion, and learn in an environment that encourages discovery at their own pace. In support of this, we are committed to creating and maintaining a culture of inclusion and diversity where our employees are passionate about serving students and families, treat one another and customers with respect, challenge each other to innovate and always strive to do better.Passionate Educators are needed at the Stride K12 partner school, the Shared Teacher Experience Program (STEP). We want you to be a part of our talented team!The mission of the Shared Teacher Experience Program (STEP) is to provide an exemplary individualized and engaging educational experience for students by incorporating school and community/family partnerships coupled with a rigorous curriculum along with a data-driven and student-centered instructional model. Student success will be measured by valid and reliable assessment data, parent and student satisfaction, and continued institutional growth within the academic community. Join us!The CRE Computer Science/IT Teacher is state certified teacher and/or alternatively certified CTE Teacher responsible for delivering specific course content in an on-line environment. The CRE Computer Science/IT Teacher must also be a provide instruction, support, and guidance, manage the learning process, and focus on students' individual needs. CRE Computer Science/IT Teachers monitor student progress through K12's learning management system, and work actively with students and parents to advance each students learning and to develop and monitor a plan for post-secondary success via online tools like Career Builder, Career Cruising, etc.THIS IS A PART-TIME POSITION THAT WILL LIKELY PAY $20-$30/HOURThis is a part-time position. Ability to work independently, typically 20 hours per week. Ability to maintain a professional home office without distraction during workday, typically 9-5 (or 8-4) or as defined by the school.As part of our program, we work with a variety of schools to support their needs and their students by offering live class sessions based on the daily school schedule. This means that availability and flexibility are important within our teacher pool in order to support the schools that we serve and students needs as they arise.ESSENTIAL FUNCTIONS: Reason accommodation may be made to enable individuals with disabilities to perform the essential duties.Instructional/CurricularEffectively apply working knowledge of the K12 curriculum and Online School as it relates to grade and subject level assignment.Maintain and effectively apply knowledge of the State, Common Core and Industry Specific learning standards.Support students/parents with placement, online school set up, curriculum and instructional issues.Develop effective instructional tools and strategies to supplement and enhance provided curriculum.CommunicationContact the student regularly via e-mail or phone.Respond within appropriate time frame (usually one business day) to student/parent inquiries.Participate in a weekly teacher conference call with the Academic AdministratorAttending regularly scheduled face-to-face and virtual staff meetings.Records ManagementDevelop and maintain student academic progress.Generate formal reports.Alert administrators of any concerns about student progress and attendanceProcess student change in placement, as appropriateComplete semester and end of year progress reportsCommunityOrganize orientation, training, social, and educational activities for students and families.Create a monthly newsletter or updated Website.Travel to assigned geographic areas to support students; participate in school activities such as open houses, expos, information session and orientations.Lead student/parent orientationsAssessment/EvaluationWork with the administration to prepare students for state assessmentsServe as proctors for site-based proctored examsAdminister state assessmentsAssess students per policyCertificates and Licenses: Appropriate State Computer Science teaching certificationResidency Requirement: United States residentREQUIRED QUALIFICATIONS:Bachelor's degree ANDThree (3) years of successful teacher experience within the virtual setting OREquivalent combination of education and experienceAbility to clear required background check(s)DESIRED QUALIFICATIONS:Shared view of the virtual academy's missionStrong content and subject-matter knowledgeAn ability to support and guide adults as well as studentsKnowledgeable in the application of data bases utilized by K12Strong written and verbal communication skillsOrganization and time-management skillsMicrosoft Office 365; Web proficiency.Ability to travel up to 20% of the time for face-to-face professional development, student testing, and/or as required by the school.Experience as an online learnerExperience with project based learningExperience using a student information system and/or other type of databaseAn ability to support adults with basic computer set-up and navigationExpected Work Hours:TYPICALLY, 20-25 PER WEEK RequiredFewer or Additional Hours May be Required based on business needsWork Hours May be Required during Day Time Business Hours (8am-5pm, ET, Mon-Fri)WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.This is a home-based positionJob TypeRegularThe above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is "at-will" as governed by the law of the state where the employee works. It is further understood that the "at-will" nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.Stride, Inc. is a Federal Contractor, an Equal Opportunity/Affirmative Action Employer and a Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected Veteran status age, or genetics, or any other characteristic protected by law.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Who we are: CyberArk is the global leader in privileged access security, a critical layer of IT security to protect data, infrastructure and assets across the enterprise, in the cloud and throughout the DevOps pipeline. CyberArk delivers the industry's most complete solution to reduce risk created by privileged credentials and secrets. The company is trusted by the world's leading organizations, including more than 50 percent of the Fortune 100, to protect against external attackers and malicious insiders. What you will do CyberArk is seeking college undergraduates and graduates looking for an immersive learning experience. Whether you're looking to build career-specific skills, get a better understanding of what company culture suits you, or start your career, we provide the opportunity to jump right in and make an immediate impact. No matter what team you're on, you'll be involved in projects from day one and get true hands on, practical experience. Don't be surprised if your teammates are there to give you a helping hand and allow you to grow professionally all while creating strong relationships. What you need to succeed Management of AWS infrastructure components such as VPCs, EC2, EKS, S3, tagging schemes, CloudFormation, etc. Deployment and management automation of cloud-based infrastructure and software Working with configuration management tools in both Windows and Linux - Cloudformation, Helm, Terraform, Salt, Ansible Ensuring cloud-based architectures meet availability and recoverability requirements Architecture and implementation of cloud-based monitoring, alerting and reporting - Datadog, Logz.io, InfluxDb, CloudWatch, Catchpoint, ELK, Grafana Develop tools to enable teams for greater output and reliability. How you will stand out from the crowd: Pursuing a B.S. in Computer Science or similar field of study Other intern experience in designing and delivering software products Ability to manage using a preferred scripting language Demonstrated aptitude in quickly mastering new languages and technologies Good communication and interpersonal skills Excellent problem solving and troubleshooting skills Security Experience a plus CyberArk is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The salary range for this position is $32-$40/hour.#LI-DNI

Senior Machine Learning ScientistRemote within OR, WA, ID or UTCambia Health Solutions is working to create a seamless and frictionless healthcare experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Cambia's Applied AI team builds, prototypes, and deploys data-driven models and algorithms to production systems, delivering more equitable, effective, and affordable health care to our members.We are seeking a highly-skilled and experienced Senior Machine Learning Scientist to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We contribute broadly across Cambia, working on a wide range of challenging problems. In this role, we are seeking a technical leader for our Healthcare Services Operations AI team working on use cases such as• Streamline prior authorization and appeal reviews using GenAI and NLP.• Summarizing medical policy decisions in plain language for our members.• Identifying members at risk for certain conditions to offer them opportunities for high-value care.• And much more!As a Senior ML Scientist on our team, you will play a crucial role in leading the team in understanding requirements, prototyping and building models, conducting experiments, and driving innovative solutions. Your passion for machine learning, deep learning, and NLP, coupled with your curiosity and desire to keep learning, will be instrumental in advancing Cambia's data-driven initiatives. In collaboration with your fellow ML Scientists, our AI product team, and our partner data engineering and software development teams, you will bring ML models to production and maintain their health and integrity while in production. Your expertise in theoretical machine learning, coupled with your practical experience engineering ML systems, will be instrumental in driving the success of Cambia's AI/ML initiatives.Qualifications and Requirements• Academic degree (masters or PhD preferred) in Computer Science, Engineering, or a related field.• Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS I• Minimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS II• Machine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis. Expert-level familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc.• Natural Language Processing (NLP): Expertise in NLP and experience using NLP libraries like NLTK, SpaCy, Gensim, etc. is a strong plus.• Generative AI and Large Language models (strongly preferred): Understanding and experience working with language (LLM) models and generative AI, including encoder-only (BERT Family) and autoregressive models (GPT family). Experience using different frameworks and libraries including but not limited to huggingface, Langchain, Llamaindex, vector databases.• Model development and evaluation: Experience in and deep intuition for applying ML techniques and approaches to solve problems. Strong foundation in model evaluation, including metric development and selection.• Software development skills: Solid understanding of software engineering principles, data structures, and algorithms. Expert-level proficiency in Python.• ML production systems: Experience deploying ML models in production systems. Exposure to containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP) is helpful. Strong grounding in model monitoring and MLOps.• Data preprocessing and analysis: Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy).• Analytical mindset: Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.• Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.• Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation.• Leadership: Strong leadership, coaching, and mentorship abilities. Ability to inspire and motivate team members towards achieving goals and delivering high-quality results.• Responsible AI: Desire to adhere to ethical considerations and responsible AI practices in machine learning. Familiarity with fairness, bias mitigation, privacy, and security aspects of machine learning models.• Healthcare knowledge: Previous experience is extremely helpful but not required.Responsibilities:• Technical leadership: Lead projects and mentor machine learning scientists and engineers. Provide technical guidance and model technical excellence. Foster a collaborative and inclusive team culture that encourages innovation, growth, and continuous learning.• Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans. Work with stakeholders to identify opportunities where machine learning techniques can provide valuable insights and solutions.• Data preprocessing and feature engineering: Implement robust and reusable data preprocessing and feature engineering pipelines to extract meaningful insights from raw data. Clean, transform, and prepare datasets to facilitate effective model training and evaluation.• Model prototyping and development: Use machine learning, deep learning, and NLP to prototype, develop, and refine models on top of our ML platform, leveraging best practices and established frameworks. Implement algorithms and techniques to meet requirements and objectives of specific business problems.• Experimentation and evaluation: Conduct experiments and evaluations to assess the performance and effectiveness of different models and techniques. Develop metrics that reflect the needs of the business for their use cases. Analyze experimental results, interpret findings, and provide actionable recommendations.• Model deployment and productionization: Work with AI Engineers to optimize and adapt models for real-time, scalable, and efficient performance. Collaborate with engineering and infrastructure teams to ensure seamless integration and deployment of models into production systems.• Model monitoring and maintenance: Track the performance and impact of machine learning models and solutions in production settings. Report on KPIs and provide actionable insights to stakeholders. Continuously iterate and improve models based on feedback and real-world data.• Continuous learning and innovation: Stay updated with the latest advancements in machine learning, deep learning, and NLP, particularly as applied in healthcare. Explore and evaluate new algorithms, frameworks, and tools to enhance model performance and efficiency.• Machine learning strategy: Contribute to and execute the organization's machine learning strategy. Identify and weigh in on areas where machine learning can provide the most value and competitive advantage.• Compliance and ethical considerations: Ensure compliance with Responsible AI guidelines in the development and deployment of machine learning models. Promote fairness, transparency, and accountability in all aspects of machine learning initiatives.Work Environment• Work primarily performed in a hybrid environment consisting of in-office and working from home.• Travel may be required, locally or out of state.The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,70 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $136,000 - $223,000The expected hiring range for a Senior ML Scientist II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 20% . The current full salary range for this role is $165,000 - $270,000Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Technology Division, Cyber Security Operations Team100% Remote (working EST)About the Team:The Cyber Security Operations team is critical to the strategic foundation of our products, most notably the secure delivery of our new Digital SAT and AP programs. We are a highly motivated group of cyber security experts who take a proactive approach to ensuring a strong security posture. We partner across the organization to mature our Threat Management and Incident Response procedures and are constantly seeking and experimenting with new technologies. We are currently using a variety of cutting-edge tools that provide comprehensive cyber security operations for the College Board's critical infrastructure in support of the College Board's mission to connect students to college success and opportunity. College Board is committed to creating an inclusive environment where all team members feel valued, respected, and supported in their work. We welcome individuals from diverse backgrounds and experiences to join our team and contribute to our ongoing success.About the RoleThe College Board is seeking a Red Team Operator who will play a critical role in strengthening our cybersecurity infrastructure. This individual will validate the effectiveness of our security controls and detection logic through offensive security operations and collaborative purple teaming exercises. Leveraging their deep understanding of threat actors, they will simulate potential cyber threats across our systems while documenting their findings and methodologies. This will provide invaluable insights into vulnerabilities and serve as a roadmap for improving our security measures. The operator will also need to communicate these results effectively to various stakeholders within the organization, ensuring leadership is aware of the potential threats and can take appropriate action to mitigate them. This work is crucial to protecting the College Board from potential cyber-attacks and ensuring the safety of our data.In this role, you will:Conduct Offensive Cyber Security Operations: Execute covert operations to assess the organization's security posture and readiness against cyber threats.Perform Penetration Testing: Conduct comprehensive assessments of the Digital Exam Player, web applications, and other systems using both manual and automated testing techniques.Engage in Purple Teaming: Facilitate collaborative exercises with internal Incident Response and Threat Hunt teams to enhance the organization's defensive capabilities.Execute Multi-stage Attack Simulation: Coordinate with Red Team members to simulate attacks, including initial access, privilege escalation, lateral movement, and data exfiltration.Create Threat Mimicry: Mimic adversary tactics, techniques, and procedures (TTPs) to assess defensive capabilities and identify weaknesses.Conduct Security Control Evaluation: Evaluate the detection and response capabilities of security controls, such as SIEM, EDR, and network monitoring solutions.Investigate C2 Techniques: Research and integrate new C2 techniques and tools to evade detection and enhance operational capabilities. Monitor and analyze C2 traffic for anomalies and indicators of compromise (IOCs).Provide Technical Guidance: Provide technical expertise and guidance to the VTM team on building custom scanning signatures and techniques. Also, guide threat hunters on adversary behaviors, attack techniques, and IOCs.Contribute to Culture Building: Foster a culture of collaboration and continuous learning within all Cyber Operations teams.Stay abreast of emerging threats and vulnerabilities affecting web applications or endpoints and incorporate them into assessment methodologies.About you, you have:A bachelor's in computer science or equivalent work experience7 years in IT, with 3 years in offensive securityExperience in Red/Purple team exercises and penetration testingProficiency in C2 frameworks (e.g., Cobalt Strike) and PythonCertifications like CEH, OSCP, GWAPT, Sec+, or GIAC preferredFamiliarity with open-source/commercial offensive security tools, assembly languages (e.g., x86), and cloud-based attacker infrastructure deploymentStrong understanding of web application CWEs, OWASP Top 10, Threat Intelligence, and Threat ProfilingExperience with IDS/IPS, SIEM, network defense tools, DLP technologies, network security architecture, and enterprise anti-virus/malware solutionsAbility to maintain discretion and integrity at all timesOur Benefits & Compensation:College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education. Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more. We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions. We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact.The salary range for a new employee in this position is$120,000 to $143,000.The salary offer of an individual candidate within this range is specific to their location and qualifications. Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate's location. You will have an opportunity to discuss salary in more detail after you begin the application process. As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!About Us:We are motivated to positively impact the educational and career trajectories of millions of students a year.We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard.We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals.Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically.#LI-TheAcorn#LI-Remote

Machine Learning Scientist (Future Opportunities)Remote Within OR, WA, UT or ID**Please note this role is a candidate pool, and we are always looking for top talent. We do not always have open positions but we encourage you to submit your resume so you will be considered for all open roles as they become available.**Primary Job PurposeMachine Learning Scientists (MLS) work with various stakeholders to design, develop, and implement data-driven solutions. This position applies expertise in advanced analytical tools such as machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. Data Scientists in the Machine Learning track work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in analysis, machine learning and deep learning, this role requires knowledge of data systems, basic software development best practices, and algorithmic design.Machine Learning Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. ML Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences.General Functions and OutcomesFor MLS I:Note that these responsibilities are representative but not exhaustive. Higher level roles involve successively stronger degrees of initiative taking and innovation beyond the core responsibilities listed here.Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, statistical, and other mathematical modeling techniques.Trains and tests models, and develops algorithms to solve business problems.Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models.Develops models and performs experiments and analyses that are replicable by others.Uses open-source packages when appropriate to facilitate model developmentIdentifies, measures, analyzes, and visualizes drivers to explain model performance (e.g., feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production).Uses appropriate metrics and quantified outcomes to drive model and algorithm improvements.Analyzes, diagnoses, and resolves bugs in production machine learning models and systems.Evaluates model/use case feasibility by quickly generating prototypes.Takes models from prototype stage and improves performance as needed.Writes clean, well-commented, tested, version-controlled, and maintainable python code.Collaborates with team members and Cambia business partners.Actively participates in group meetings and discussions.Communicates effectively both orally and in writing with both technical and non-technical audiences.Keeps current with the state of the art in machine learning and AI and its application to healthcare.Keeps current with evolving commercial and open source tools, techniques, and brings these practices to projects.Over time develops familiarity and insight with various subdomains of healthcare dataAdditional General Functions & Outcomes for Machine Learning Scientist IIGenerates new features, by following examples, using SQL or SQL-like code.Works effectively with data that may be noisy, high dimensional, sparse and/or imbalanced.Contributes to the full life-cycle of modeling, from training, to model evaluation, to model deployment.Builds robust production grade machine learning pipelines using tools and patterns in the AI platform.Accesses and processes structured and unstructured data in various databases and formats.Assesses new machine learning capabilities and adapts them to our problems and environment.Identifies or develops appropriate model metrics and objective functions to ensure models satisfy stated business requirements and KPIs.Proactively identifies potential pitfalls and risks and develops ways to avoid them.Plays a role in ensuring that the work being carried out by the AI team has sufficient business value.Writes clean, well-commented, efficient Python code.Additional General Functions & Outcomes for Machine Learning Scientist Sr. IGenerates feature pipelines and datasets using novel data sources, where example SQL may not exist.Works with large datasets that require cloud resources or distributed computing.Takes on net new/greenfield work and establishes project foundations.Identifies and determines what data is available and relevant, including both internal and external data sources.Tech lead for 1-2 project teams, products, or end-to-end systems.Builds reusable machine learning components, pipelines and tools for others to use.Oversees technical output in their area(s)/domain(s).Researches and evaluates possible solutions, including but not limited to vendors, open-source pre-trained models, cloud services, etc.Stays abreast of novel approaches and techniques in the field. Shares new ideas and discoveries with the team and applies new ideas when appropriate to generate business value.Devises project plans to address business problems, drawing from an increasingly broad ML toolset grounded in hands-on experiences and prior successes delivering business value.In collaboration with Data Science Product Manager(s), develops target success criteria.Participates in recruitment efforts by the team.Mentors others to help develop their skills.Additional General Functions & Outcomes for Machine Learning Scientist Sr. IIContributes to the development of technical strategy and roadmaps in at least one major area of the AI portfolio.Leads technical aspects of large-scale initiatives.Makes material improvements in processes or infrastructure that reduces the load on team members.Develops materials (oral and written) within the Cambia community to increase awareness of AI/ML and how it can be applied in the healthcare payer space.Connects new machine learning opportunities and existing efforts to corporate and departmental strategies.Represents Cambia through publishing research and acquiring patents.Designs online experiments and assessment methods, for example A/A and A/B testing.Identifies industry trends in machine learning/healthcare and communicates the impact and opportunities to the team and business leaders.Works and interacts across the organization with a variety of business units.Identifies team learning objectives and builds curricula.Contributes to development of recruitment strategies for the AI team.Minimum RequirementsCompetencies and Knowledge:For all levels:Demonstrated knowledge of data science, machine learning, and modeling.Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models.Effective in time and task management.Able to develop productive working relationships with colleagues and business partners.Strong interest in the healthcare industry. Core Knowledge:Machine Learning: Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc. (see below). Demonstrated understanding of how to structure simple machine learning pipelines (e.g., has prepared datasets, trained and tested models end-to-end).Data: Strong foundation in data analysis.Programming: Strong python programming skills. Familiarity with standard data science packages. Familiarity with standard software development best practices. Strong SQL skills a plus.Algorithms: Understanding of standard algorithms and data structures (ex. search & sort) and their analysis.Additional Minimum Requirements for Machine Learning Scientist IIAbility to code effectively in and create novel features and datasets using SQL or SQL-like languages.Ability to write clean, well-commented, efficient Python code.Strong understanding of techniques for working with noisy, high-dimensional, sparse, and/or imbalanced data.Demonstrates in-depth familiarity with at least one domain of data (e.g., claims data).Demonstrates depth of understanding in at least one major ML modeling technique or approach.Ability to develop new machine learning pipelines for both offline testing and online serving of models.Demonstrated track record of delivery of data science and machine learning models to solve well-defined business problems.Has working knowledge of department processes, procedures, and infrastructure.Able to identify common pitfalls in developing ML models (e.g., data leakage across features or partitions)Ability to translate business requirements into data science and machine learning discovery plans and modeling objectives.Ability to articulate the high-level business objectives of their work.Performs a range of data science tasks with a moderate level of guidance and direction.Ability to partner within and across departments to remove blocks and achieve results.Additional Minimum Requirements for Machine Learning Scientist Sr. IAdvanced SQL or SQL-like and Python coding skills.Ability to use novel techniques to solve challenging business problems.Demonstrates in-depth familiarity with at least two domains of data.Demonstrated ability to work with large datasets in a distributed computing environment.Demonstrates independent judgment in selecting methods and techniques for delivering results.Demonstrates expert-level technical skills in ML models and algorithms, and ensures technical quality of models and algorithms developed by others.Able to partner with business stakeholders on ill-defined or improperly defined goals, extract underlying needs, and develop a discovery plan.Able to quickly research and evaluate possible solutions to complex business problems.Able to lead projects or sub-projects within a broader product.Able to influence strategy and prioritization within their area(s).Able to assist and mentor less-experienced data scientists.Able to develop project plans.Normally receives little instruction on day-to-day work, general instructions on new assignments.Additional Minimum Requirements for Machine Learning Scientist Sr. IIAble to identify common patterns, and develop common tools and patterns to facilitate rapid experimentation, modeling, and development.Broad and comprehensive, but also technically-deep awareness of data science & machine learning advancements in the field.Demonstrated ability to influence strategy and prioritization.Ability to design online experiments and assessment methods.Experience advocating for AI/ML and developing a data-driven culture at an organization.Ability to develop training/workshop materials.Ability to communicate effectively across a large organization.Demonstrated track record of contributions to the field, e.g., through publications, blog posts, or patents.Normally to be proficient in the competencies listed above:Machine Learning Scientist I would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and 0-3 years of related work experience, or equivalent combination of education and experience.Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience. Equivalent combination of education and experience will be considered.Machine Learning Scientist Sr I would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires at least 7 years of related work experience. Equivalent combination of education and experience will be considered.Machine Learning Scientist Sr II would have a degree (masters or PhD preferred) in a strongly a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combination of education and experience will be considered.Work EnvironmentWork primarily performed in an office environment and working from home may be considered. Travel may be required, locally or out of state. May be required to work overtime and outside of normal hours.The expected hiring range for a MLS I is $109,700 - $148,400, for a MLS II is $119,900 - $162,200, for a Sr MLS I is $145,400 - $196,700 and for a Sr MLS II is $176,000 - $238,100 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for a MLS I and MLS II is 15% & the bonus target for a Sr MLS I and Sr MLS II is 20%. The current full salary range for this role is $103,000 - $168,000 for MLS I, is $112,000 - $184,000 for MLS II, is $126,000 - $223,00 for Sr MLS I, and is $165,000 - $270,000 for Sr MLS II.Base pay is just part of the compensation package at Cambia that is supplemented with an exceptional 401(k) match, bonus opportunity and other benefits. In keeping with our Cause and vision, we offer comprehensive well-being programs and benefits, which we periodically update to stay current. Some highlights:medical, dental, and vision coverage for employees and their eligible family membersannual employer contribution to a health savings account ($1,200 or $2,500 depending on medical coverage, prorated based on hire date)paid time off varying by role and tenure in addition to 10 company holidaysup to a 6% company match on employee 401k contributions, with a potential discretionary contribution based on company performance (no vesting period)up to 12 weeks of paid parental time off (eligible day one of employment if within first 12 months following birth or adoption)one-time furniture and equipment allowance for employees working from homeup to $225 in Amazon gift cards for participating in various well-being activities. for a complete list see our External Total Rewards page.We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.

Essential Responsibilities: Direct health economics strategy. Work with VP/Chief Actuary, Health Services, Provider Network, Actuarial Pricing and other leadership areas to ensure consistency with partnering departments and alignment with company strategy/goals.Make documented recommendations based on the analysis of information regarding methods to reduce costs.Collaborate with pricing actuaries to ensure actual and/or expected outcomes of health economics programs are reflected in premium rates. Provide actuarially sound pricing assumptions and analysis, including supporting actuarial memoranda where necessary.Coordinate business activities by maintaining collaborative partnerships with key departments.Actively participate in various strategic and internal committees in order to disseminate information within the organization and represent company philosophy.Provide leadership and supervision to a team of actuarial students, credentialed actuaries, and non-actuarial analysts.Assist with hiring, staff development, coaching, performance reviews, corrective actions, and termination of employees. Provide feedback, including regular one-on-ones and performance evaluations, for direct reports.Provide input into operational and strategic initiatives as they relate to the actuarial functions of the company.Participate in the design and execution of research activities performed within PacificSource.Responsible for process improvement and working with other departments to improve interdepartmental processes. Work with staff to promote utilization of lean methodologies for continuous improvement throughout the department.Directs the assessment of various elements of risk, cost, and utilization, and its financial impact upon PacificSource.Responsible for developing the organization's targeted cost and utilization trend through regular and systematic analysis of experience and forecasting of financial and statistical data in a manner that is actuarially sound, competitive in the marketplace, and provides income in accordance with organization goals and objectives.Manage the development, implementation, and maintenance of health economics models, coordinating with other departments to ensure compliance with regulatory requirements and consistency with PacificSource policies.Assist in the development and monitoring of clinical programs and provider contracts. Product development activities include: proposing program adjustments, creating organizational discipline around the management of cost and utilization trends, modeling risks and recommending provider contract parameters, reviewing draft provider contracts, monitoring accuracy of contract implementation and measuring contract performance, planning and execution of ongoing risk management, and making presentations to senior executive management.Stay informed regarding changes to actuarial curriculum and requirements. Propose updates to student program as needed.Assist in the development of department budgets.Supporting Responsibilities: Meet department and company performance and attendance expectations.Follow the PacificSource privacy policy and HIPAA laws and regulations concerning confidentiality and security of protected health information.Perform other duties as assigned.SUCCESS PROFILEWork Experience: At least six years health actuarial experience and three years management experience required.Education, Certificates, Licenses: Baccalaureate degree in mathematics, statistics, actuarial science, or a related field. Enrolled as an Associate or Fellow in Society of Actuaries, and active member in good standing of American Academy of Actuaries. Fellow in Society of Actuaries preferred.Knowledge: Must possess the knowledge and assume responsibility for performing the functions of the job position. Must perform and be responsible for the functions in a manner which promotes confidence in the person's abilities. Ability to accomplish tasks accurately under pressure, determine priorities, and to meet deadlines. Ability to identify and define problems, design and then implement solutions, and further monitor results, in a continuous cycle. Is creative and innovative in responding to challenges. Ability to apply actuarial methods and modeling techniques. Verifies and documents assumptions, justifies analysis and recommendations with sound logic and actuarial principles, and adheres to Actuarial Standards of Practice.Competencies AuthenticityBuilding Organizational TalentCoaching and Developing OthersCompelling CommunicationCustomer FocusEmpowerment/DelegationEmotional IntelligenceLeading ChangeManaging ConflictOperational Decision MakingPassion for Results Environment: Work inside in a general office setting with ergonomically configured equipment. Travel is required approximately 5% of the time.