Science Salary in Palo Alto, CA

DESCRIPTIONWe’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek a strong Applied Scientist with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software development- - 3+ years of building models for business application experience- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- - Experience in patents or publications at top-tier peer-reviewed conferences or journals- - Experience programming in Java, C++, Python or related language- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting.Learn about the Danaher Business System which makes everything possible.The Staff Systems Integration Engineer is responsible for working developing and progressing the system integration strategy for the Systems Engineering team. In this role, you will be the systems integration lead on projects. The individual will develop new test methods, lead troubleshooting, and perform failure Investigations to support ongoing design and development efforts across Cepheid's diagnostic platforms. This role is ideal for an individual who enjoys solving complex technical problems and believes in our mission of delivering a better way to improve patient outcomes by enabling access to molecular diagnostic testing everywhere. A successful individual in this role will utilize technical knowledge, experience, and engineering tools and methodologies to bridge the gap across functional teams and connect critical elements, including Software, Firmware, Hardware, Consumables, Biochemistry, and Optics. You will be a critical player in a fast-paced team that is sustaining current bestselling generation instrumentation and developing next generation diagnostic instrument platforms and lab automation systems.This position is part of the Systems Engineering team and will be in in Sunnyvale, CA. At Cepheid, our mission is delivering A Better Way to improve patient outcomes by enabling access to molecular diagnostic testing everywhere.In this role, you will have the opportunity to:Develop an expert technical understanding of our products and serves as a holistic systems integration engineer capable of hands-on triaging of all Cepheid systems and subsystems.Lead technical projects and tasks involving a cross functional team.Perform hands-on laboratory testing in engineering, instrument, and biology labs.Analyze complex datasets to identify trends and areas for investigation.Work with cross-functional teams including Software, Firmware, Mechanical, Electrical, Customer Care, and Biochemistry.The essential requirements of the job include:Bachelor's degree in engineering, molecular biology, life sciences, or a related technical disciplineAt least 8 years of direct work experience as an engineer, scientist, or product developer (e.g., System Integration Engineer, System Development Engineer, Product Development Engineer, Physicist, or related occupation) in an industry laboratory setting. Or equivalent combination of advance degree with practical experience to perform at this level.Must have experience with developing and integrating complex instrumentation systems which incorporate optical, mechanical, thermal, and firmware/software components.Working knowledge of design of experiments, interpretation of test results, failure investigation and excellent problem-solving skillsData analysis expertise and experience with various data analysis software packages such as Origin, Matlab, Minitab, or Image Analysis SoftwareIt would be a plus if you also possess previous experience in:Medical device or biotechnology industry with GMP and GLP experienceSystems Engineering, such as requirements, system architecture, and risk analysisKnowledge of analog and digital electronics, hardware test method development, optomechanical design and assembly, electromechanical assembly.Cepheid, a Danaher company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.At Cepheid we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part of the time at the Company location identified above and part of the time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cepheid can provide.The salary range for this role is $160K-$180K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.This job is also eligible for bonus/incentive pay.We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.Given the essential job duties of this position, the employee is required to be fully vaccinated against COVID-19 as a condition of employment, subject to reasonable accommodation and applicable law.Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.The EEO posters are available here.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.

DESCRIPTIONAmazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.This position will be part of the Advertiser Growth organization within Sponsored Products (SP). Our team focuses on launching innovative controls that help advertisers create and manage performant SP campaigns. We develop recommendations to help advertisers use these controls effectively and develop state-of-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages.The Sr. Manager, SP Bidding is a single-thread leader responsible for representing advertiser bids in the SP marketplace. The leader will own development of new bidding controls, bid suggestion service, and online bid optimization algorithms that enable SP advertisers to increase reach and drive sales of their promoted products. The leader will lead a cross-functional team of 25+ Amazonians leading the product vision and execution of these services and work across the retail and advertising orgs.Key job responsibilitiesThis role leads two primary services for SP:Bid Suggestion Service: Bid Suggestions provide advertisers with performant bids to use while creating and managing SP campaigns. Advertiser bids are a key input to the SP marketplace and >95% of SP advertisers receive the bids suggested by this service. The leader will own defining the vision of evolving this product to further improve the explainability, accuracy, and usefulness of the suggested bids. Dynamic Bidding: More than 85% of SP advertisers entrust Amazon to adjust their bid at the time of the impression through Dynamic Bidding controls. Advertiser bids are optimized through a tier-1 bidding service operating at p99 latency < 15="" ms="" while="" scaling="" to="" more="" than="" 200k="" qps="" that="" processes="" 1000s="" of="" ads="" in="" each="" request.="" the="" leader="" will="" own="" and="" improve="" this="" service="" and="" set="" the="" engineering="" and="" science="" vision="" of="" continually="" improving="" dynamic="" bidding="" for="" sp="" advertisers.="">We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS1) PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline2) 10+ years of experience using AI/ML solutions to address large scale recommendation and optimization services 3) 5+ years of experience leading science teams4) Experience in applying machine learning to real-world problems, with demonstrated impact on product or service outcomes5) Excellent written and verbal technical communication with an ability to present complex information in a clear and concise manner to a variety of audiencesPREFERRED QUALIFICATIONS1) Hands on experience of leading teams in launching products that are retail media specific or related to display advertising2) Delivered large scale AI/ML based solutions that are customer facing3) Experience in influencing product strategy through cutting edge researchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,000/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

DESCRIPTIONIn Amazon Advertising we are applying Machine Learning techniques at massive scale to optimize advertising performance. We are looking for talented applied scientists to perform research, prototyping, and experimentation with the latest ML techniques. In this role you will work together with other Applied Scientists and Data Scientists, Software and Data Engineers, and Product Managers on high impact initiatives in Amazon’s Multi Channel Advertising.The Ad Performance and Delivery team owns the core systems for optimizing Ad Selection, Bidding, and Campaign Performance. These systems process billions of Ad impressions daily from across the internet to power our display advertising algorithms. You will play a significant role in building and improving ML-based optimization systems for Amazon’s display, audio, and video advertising. You will research the latest advances in ML prediction and forecasting techniques, construct prototypes to validate your hypothesis, work with engineers to turn these prototypes into production systems, and perform offline analysis and online A/B experimentation.In this role, you will work directly with a highly motivated team of ML scientists and engineers who are passionate about applying data science and ML techniques to solve advertiser needs. You will also join the lively Amazon ML community, with opportunities to write papers, attend workshops and conferences (internal and external), participate in science events, and obtain early access to Amazon ML technologies.As a Senior Applied Scientist on this team, you will:- Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.- Lead technical efforts within this team and across other teams.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. - Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Work closely with software engineers to assist in productionizing your ML models.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and mentor scientists on the team.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USABASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting.Learn about the Danaher Business System which makes everything possible.The Principal Optical Engineer is responsible for opto-electronic components and systems that drive significant impact to the organization. Within Engineering R&D there are opportunities to learn about our technology and develop your skills in analysis and modeling.This position is part of the Engineering R&D organization, Optics team member, and will be in in Sunnyvale, CA with full time and some remote work as appropriate for the position and timing. At Cepheid, our vision is to be the leading provider of seamlessly connected diagnostic solutions.In this role, you will have the opportunity to:Work on engineering designs for current and future systemsDevelop a deep system level understanding of qPCR.Work on Sustaining projectsEvaluate optical systems for improvements.Understand FDA requirements.The essential requirements of the job include:Degree in Optics, EE, Physics, Fluidics or related disciplinesPrefer MS minimum or Ph.D.Ability to collaborate, learn, evaluate, analyze, and implement solutions.Strong skills in component and subsystem testing via automated measurements.Min. 5 years experiences with opto-electronics systems, and knowledge of fluorescence processes, molecular biochemistry, biomed materials and processing, optical elements sourcing, and fabrication, and PCR fundamentals. It would be a plus if you also possess previous experience in:ZemaxSolid WorksMS productsAgileCepheid, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.The salary range for this role is $200,000 to $220.000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.This job is also eligible for annual bonus/incentive pay of 15% of the base.We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.The EEO posters are available here.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.

Work type: Non-Tenure Line (Research), University Medical Line, University Tenure LineLocation: Stanford UniversityCategories: School of MedicineThe Department of Otolaryngology - Head & Neck Surgery (OHNS) at Stanford University seeks a sensory biologist or clinician scientist (PhD or MD or equivalent) to join as a faculty member at the rank of assistant professor, associate professor or professor in the University Tenure Line, University Medical Line, or the Non-Tenure Line-Research. The Department of Otolaryngology - Head & Neck Surgery is highly interactive with research as a foundational component of its tripartite mission of clinical care, discovery-based research and teaching/mentoring. The department's research interests encompass the broad field of Otolaryngology and range from basic science to translational and clinical research. We promote a team approach to research as supported by numerous collaborative projects as well as a well-resourced departmental core facility.We are particularly interested in candidates who have experience with combining multiple approaches to (i) address fundamental biological questions about sensory systems such as hearing, balance, olfaction, and taste, and/or (ii) generating translational advances for treating sensory dysfunction. This search is open to a wide range of scientific expertise, including but not limited to structural, molecular, cellular, developmental and systems biology, behavioral neuroscience, and physiology from cell to system.The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching.The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill.The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists.Faculty rank and line will be determined by the qualifications and experience of the successful candidate.The successful applicant should have a PhD or MD or equivalent with scientific expertise, teaching experience, and accomplishments that are commensurate with their current rank. We expect the successful candidate to actively participate in departmental research events and seminars and in formal teaching and training opportunities. More senior candidates are expected to be leaders in their field and have a strong track record in publishing and funding.Applications will be reviewed beginning April 5, 2024, and accepted until the position is filled.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.The Department of Otolaryngology - Head & Neck Surgery, the School of Medicine, and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: https://ideal.stanford.edu/about-ideal/diversity-statement.Submit CV, a brief letter of interest and the names of three references to: [FSAT URL for position posting, via https://facultypositions.stanford.edu/]For questions, please contact Lori Abrahamsohn at [email protected] expected base pay range for this position is: Assistant Professor: $185,000 - $203,000Associate Professor: $218,000 - $242,000Professor: $266,000 - $296,000This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.Advertised: 04 Apr 2024 2:30 PM Pacific Daylight TimeApplications close:

Location: Palo Alto, CA (hybrid) NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find NEXT.Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in.Want to shape the future of insurance through data science? We are looking for a Data Scientist to join the growing data org that has a dedication to diving into data and thinking analytically about business problems and user behaviors. The ideal candidate is excited to define and own company objectives and guide their team towards success through data-driven decisions. If you have the intuition to identify important analytical questions, the technical ability for complex deep-dives, and the communication skills to turn ideas into action - you belong here! What You'll Do: Conduct deep-dive analysis to improve insurance product performance, with focus on pricing and underwritingIdentify, size and prioritize opportunities pertaining to growth and profitabilityPartner with data engineering to design the right data model, logging, and data-pipelines.Work with cross-functional partners to determine the strategy of their team, then design the right metrics and targets to communicate their progressCreate clear, compelling, and actionable insights based on dataDevelop dashboards to track progress against objectives, understand metric drivers, and help business stakeholders make data-informed decisions Design experiments to inform product decisionsProvide statistical rigor and guidance on metric developmentWhat We Need: 4+ Professional experience in a quantitative analysis roleDesire and capability to deeply understand the insurance products we offer and available levers Applied knowledge of experiment design and causal inference, particularly non-A/B or RCT experimentsFluent in SQL and comfortable with less structured data format such as JSONProficiency in statistical analysis using Python or R.Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insightsExperience building clear and easy to understand dashboardsAbility to communicate effectively to cross functional partners of varying technical levelsExperience influencing the product strategy through analysesBA/BS degreeUnstoppable Qualities: Experience in insurance or financial servicesExperience with pricing and underwriting riskApplied knowledge of experiment design and causal inference, particularly non-A/B or RCT experiments

Siemens Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. More than 71,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. We stand with our customers around the world to support them in delivering high quality care to their patients. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. This is what truly matters to us. Join our team now at Siemens Healthineers as Senior Scientist - Collaborations Manager for the Computed Tomography R&D Division (West Coast).This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior Scientist - Collaborations Manager, you will be responsible for:Managing scientific and medical affairs collaborations at luminary institutions and driving joint collaborative projects that can lead to publications, extramural grant applications, and/or patent applications Maintaining clinical and technical expertise in computed tomography - Collaborating both with CT R&D development teams and clinical partners for comprehensive evaluation and testing of developmental software & hardware prototypes and new productsIdentifying, building, and supporting strong collaborative relationships with key thought leaders Keeping customers & collaboration partners informed and up-to-date about the Siemens Healthineers technologiesDrafting, negotiating, and executing collaboration contracts with support from internal legal, regulatory, and compliance teamsTracking milestones and deliverables of research projects Maintaining accurate budget of research contracts and conducting budget planning with appropriate colleaguesEffectively communicating with Siemens Healthineers internal audiences and leadershipThis position may suit you best if you are familiar with what is below, and would like to do develop your career with Healthineers:You have completed studies in the field of Medical Physics, Biomedical Engineering, Medicine and/or Computer Science and have a strong clinical and technical background in the fields of Computed Tomography, Medical Imaging, Artificial Intelligence and/or Radiation Therapy. Experience with photon-counting CT is a plus.You have the ability to take initiative and lead projects in multi-disciplinary groupsYou have the desire to learn, ask questions and be resourceful to identify innovative applications, develop own, creative solutions to complex problemsYou are willing and able to travel up to 25%, including short term international tripsRequired skills to have for the success of this role:PhD in related field or MD1- 3 years of experience (industry or post-doctoral fellow)Excellent communication & presentation skillsAssertiveness and can-do attitudeExperience working in a clinical and interdisciplinary environmentAt Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose: To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services. We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally.If you want to join us in transforming the way healthcare is delivered, visit our career site at https://usa.healthcare.siemens.com/careers. If you wish to find out more about the specific before applying, please visit: https://usa.healthcare.siemens.com/about. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. *LI-WC1Equal Employment Opportunity StatementSiemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. Reasonable AccommodationsIf you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accomodation for disablity form If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. EEO is the LawApplicants and employees are protected under Federal law from discrimination. To learn more, Click here .Pay Transparency Non-Discrimination ProvisionSiemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here .California Privacy NoticeCalifornia residents have the right to receive additional notices about their personal information. To learn more, click here .

RESPONSIBILITIES:Kforce has a client in Palo Alto, CA that is seeking a remote Principal GenAI Data Scientist.Summary:The Principal Data Scientist will innovate in cybersecurity using Generative AI to enhance SOC operations. This role uniquely blends AI expertise with a passion for cybersecurity, focusing on transforming advanced AI research into practical cybersecurity solutions. It offers a significant opportunity for professional growth at the forefront of AI in the dynamic field of cybersecurity.Responsibilities: AI-Driven Cybersecurity: Develop/Leverage/Fine-tune generative AI models for threat simulation and prediction Threat Detection: Use AI for emerging threat identification and pattern analysis SOC Innovation: Integrate AI tools to automate threat detection and response Team Collaboration: Partner with cybersecurity teams to tailor AI solutions Data Management: Handle cybersecurity data, informing AI model development Industry Awareness: Keep updated with AI and cybersecurity advancements Effective Communication: Convey AI concepts within the cybersecurity contextREQUIREMENTS: Educational and Professional Background: An advanced degree in Computer Science, Cybersecurity, AI, or a related field, complemented by 5+ years of relevant experience AI and Cybersecurity Expertise: A strong foundation in artificial intelligence, with a specific focus on generative models, and a passion for exploring cybersecurity applications Analytical Skills: Demonstrated ability to tackle complex cybersecurity issues through analytical problem-solving Leadership and Teamwork: A track record of successful project leadership, showcasing effective collaboration and team-building capabilities Communication Skills: Competence in articulating technical concepts clearly and effectively to a diverse range of audiences SOC Familiarity: Knowledge of Security Operations Center (SOC) operations and tools, underlining a practical understanding of real-world cybersecurity defense mechanisms Technical Proficiency in AWS: Experience with AWS services, including but not limited to SageMaker, EMR, S3, DynamoDB, and EC2, indicating a strong grasp of cloud computing environments Machine Learning Expertise: Hands-on experience with various aspects of machine learning, including deep learning, natural language processing (NLP), computer vision (CV), graph neural networks (GNN), and distributed training, showcasing a broad and deep technical skill set The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Will test, debug, and verify in-house chip design as a member of the verification team; create the Universal Verification Methodology (UVM) testbench that is written in System Verilog to verify the functionality and performance of the chip; examine the interrupt, register access, and Direct Memory Access (DMA) functionality in a full chip simulation with Praveen; verify the detailed feature of a device link controller module with team members; collaborate across company's verification teams to bring up new verification methods and test plans; engage in design-verification cross-team reviews to come out better solution for the hardware bug.A Master's degree in Electrical Engineering or Electrical Engineering and Computer Science, or Electrical and Computer Engineering, or Computer Engineering, or a related field is required.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #379555 in the subject line.Thank you.