Scientist Salary in San Francisco, CA

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.Applicants must be legally authorized to work in the United States. Sponsorship not available.Our client is seeking a Research Scientist, Bioinformatics for a remote opportunity..Role DescriptionResearch Scientist (Bioinformatics Consultant) - Molecular Epidemiology The Biomarker Sciences department at client is dedicated to conduct biomarker and translational research to further understanding of specific aspects of biology, inform research, development and pipeline decisions, and advance the effectiveness of available therapies in appropriate patient populations. The Molecular Epidemiology team supports biomarker activities by integrating real-world data and epidemiologic evidence within the biomarker discovery and development strategy. • To conduct statistical analysis from real-world observational or clinico-genomic data from Tempus and publicly available databases (e.g., TCGA, clinical trials, etc). • To lead or co-lead development of study protocols and/or statistical analytical plans for studies. • To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis. • To effectively communicate study findings through internal presentations, assist in drafting conference abstracts and manuscripts for publication in peer reviewed journals. Skills & Requirements• Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia. • Should have experience in developing analysis plan and conducting analysis for studies using real-world large observational data or with multi-omics databases. • Should have experience in running bioinformatics pipelines and familiarity with bioinformatics methods and tools. Should have a good grasp of statistical methodology including multivariate regression methods • Proficiency in programming languages such as R and Python. • Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. • Candidates are expected to have familiarity with clinico-genomic and publicly available genomic databases (e.g., TCGA). Experience with large healthcare databases including electronic health records, specialized EMR databases, and claims data is a plus. • Should have general knowledge of drug discovery and development process. • Should have good oral and written communication. • Candidates are expected to have the ability to work mostly independently in collaboration with lead epidemiologist or other functional partners. • Candidates are expected to work in a diverse, collaborative cross-functional environment. Required Years of Experience: 1-3 for PhD, 5-7 for Master's, and 8 or more for BS degrees• Bioinformatics methods, experience of analyzing large-scale genomic data, fair knowledge of statistical approach and experience with real-world clinico-genomic data, • Gene-expression and pathway analysis, biopharma or similar experience Advantages of this role: a combination of education and experience Required Degree or Certification Ph.D., MS, BSBenefits/Other CompensationThis position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).Why Hays?You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume?Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.Drug testing may be required; please contact a recruiter for more information.#LI-DNI #1160960 - Laurie McComb

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.     This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to  learn fast, create with audacity and lead boldly? Join our team.About the RoleAs the Principal Data Scientist for Digital Commerce at Gap Inc., you will play a pivotal role in leveraging advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance digital commerce performance across various Gap Inc. brands. You will lead a team of talented data scientists, collaborate closely with cross-functional stakeholders, and spearhead data-driven initiatives to unlock business insights, improve decision-making processes, and innovate within the digital commerce landscape.What You'll DoAdvanced Analytics and Modeling:Apply cutting-edge machine learning algorithms, including but not limited to deep learning, ensemble methods, and natural language processing, to analyze large-scale datasets related to customer behavior, product attributes, and digital commerce performance.Utilize advanced analytics, machine learning, and statistical modeling techniques to analyze large volumes of structured and unstructured data related to customer behavior, product trends, and digital commerce performance.Create a comprehensive Causal ML framework to measure impact Analyze and model customer behavior and uncover hidden patterns using science methodologiesLeadership and Strategy:Provide strategic direction and thought leadership in the application of data science techniques to drive digital commerce growth and enhance customer experiences.Collaborate with senior leadership to define and prioritize data science initiatives aligned with business objectives and digital commerce strategies.Mentor and lead a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.Experimentation and Optimization:Design and execute A/B tests and multivariate experiments to evaluate the impact of data-driven initiatives, inform product development decisions, and drive continuous optimization of digital commerce experiences.Develop experimentation frameworks, statistical methodologies, and tooling to facilitate rigorous hypothesis testing and interpretation of experimental results.Cross-Functional Collaboration:Partner closely with product management, marketing, e-commerce, and technology teams to understand business requirements, identify opportunities for data-driven optimizations, and influence product roadmap decisions.Communicate complex analytical findings and insights effectively to stakeholders at all levels, fostering data-driven decision-making across the organization.Collaborate with data engineering and IT teams to ensure data accessibility, integrity, and scalability for analytics and modeling purposes.Innovation and Continuous Improvement:Stay abreast of emerging trends, technologies, and best practices in data science, digital commerce, and retail industries.Identify opportunities for innovation and experimentation, leading the exploration and implementation of new analytical techniques, tools, and methodologies.Drive process improvements and establish best practices for data science workflows, model deployment, and performance monitoring.Who You AreStrong experience in data science, machine learning, or analytics roles, preferably within the retail or e-commerce industry.Proven track record of leading data science initiatives, driving business impact, and delivering actionable insights in a fast-paced environment.Expertise in statistical modeling, machine learning algorithms, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL.Strong communication and stakeholder management skills, with the ability to distill complex technical concepts into clear and actionable insights for non-technical audiences.Experience leading and mentoring cross-functional teams of data scientists, analysts, or engineers.Familiarity with digital commerce platforms, customer relationship management (CRM) systems, and web analytics tools is a plus.Passion for retail, fashion, and consumer behavior, with a deep understanding of the digital commerce ecosystem and industry trends.Benefits at Gap Inc. Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. One of the most competitive Paid Time Off plans in the industry.* Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.* Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.* Employee stock purchase plan.* Medical, dental, vision and life insurance.* See more of the benefits we offer. *For eligible employeesGap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.Salary Range: $166,300 - $246,000 USDEmployee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.US CandidatesPlease note that effective, June 30, 2022, Gap Inc. will no longer require any of its employees to wear face masks or require proof of COVID vaccination, unless required by local or state/provincial mandates or as part of Gap Inc's quarantine guidelines after being exposed to or testing positive for COVID. Therefore, please disregard any language in any job posting that refers to Gap Inc.'s face mask and proof of vaccination policy as said policy is no longer effective.

Creator Marketing contributes directly to Meta's mission by connecting creators with their audiences and helping them grow through a variety of creator focused tools and features. We succeed when we help our creators grow on our platforms and engage with their audience in meaningful ways. As a result, our marketing team seeks to understand how our creators feel about our products and their experience on our platforms so that we can help them better understand Meta's intent and guide our creators to key features.The Creator Marketing Data Science team is seeking an exceptionally skilled data scientist who excels at the intersection of data, human behavior, marketing, product development, and engineering. In this capacity, the Data Scientist will conduct experiments, develop models, and provide valuable insights into our creator base, identify potential opportunities, and evaluate the effectiveness of our marketing strategies and tactics. The ideal candidate will possess a passion for problem-solving, innovation, delivering data-driven insights, and thriving in a fast-paced and dynamic work environment. Data Scientist, Creator Marketing Responsibilities: Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offeringsProactively identify opportunities to improve the experience of creators on the Meta family of appsLead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendationsPartner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniquesDesign and execute experiments (e.g., A/B testing, multi-armed bandit)Communicate insights and recommendations to marketing leads and influence strategic decision-making Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.5+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization5+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental designExperience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)Experience with stakeholder communication and presentation skills Preferred Qualifications:An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations ResearchSelf-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidanceProven track record of leveraging data to deliver business value and present data-driven insights to senior leadersExperience developing data pipelines via SQL and Python-based ETL frameworkExperience with online marketing and advertising data analysisExperience building cross functional relationships across a variety of functions to launch projects to drive business valueExperience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers) About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

DESCRIPTIONThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers.We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | San Francisco, CA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS- Experience in patents or publications at top-tier peer-reviewed conferences or journals- PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field- Experience with popular deep learning frameworks, including PyTorch- Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domainsAmazon 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Meta's Civil Rights Team seeks an experienced, highly motivated Research Scientist to join the Team's technology pillar. In particular, you'll help the Civil Rights Team measure and mitigate potential civil rights risks in emerging technologies (such as virtual reality and facial recognition), specifically with respect to algorithms, machine learning and artificial intelligence. You will enjoy working with some of the richest data sets in the world, cutting-edge technology, and the ability to see your insights turned into real world impact. The position requires an interest in civil rights issues and the impacts of technology and social media on individuals, communities, and society.A successful candidate is excited by taking on and leading complex and cutting-edge projects, thrives in a fast-paced environment and can seamlessly drive success working with multiple cross-functional stakeholders. You must be a self-starter, able to identify issues early and drive to resolution independently. The perfect candidate will have both excellent quantitative and communication skills and have demonstrated success in analyzing datasets to power and influence business decisions. Research Scientist, Civil Rights in Technology Responsibilities: Collaborate with a variety of technical and non-technical stakeholders (including engineers, data scientists, and attorneys) to understand and identify data needs, understand civil rights risks and business problems, and design analytical solutionsCollaborate with researchers, product managers, policy managers, and engineers to research and develop potential measurements and mitigations to address civil rights risks in cutting-edge technologiesBuild data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownershipLead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendations for civil rights concerns, under direction of counselDesign and communicate analytics, experiments, and software solutions to help drive understanding across some of the largest data sets in the worldShow scientific rigor in conducting applied researchclearly articulate why a chosen approach is superior to othersContribute to development of documentation, protocols and procedures, training guides, workflows, etc.Identify new relevant opportunitiesContribute to internal and external publications and presentations to share the Team's innovative and impactful workSupport other Civil Rights Team engagements and strategic projects Minimum Qualifications:Masters degree in Computer Science, Data Science, Political Science, Sociology, a relevant technical field, or equivalent practical experience3+ years of work experience in data or quantitative fieldExperience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, R, C++, C#, Scala, etc.)Experience writing persuasive reports and crafting presentation decksExperience with distributed computing (Hive/Hadoop)Experience with machine learning to automate tasks, identify patterns, make predictionsExperience using version control systems (e.g. Git/Mercurial)Experience visualizing data (e.g. Tableau, PowerBI, D3)Experience working with non-technical partnersExperience initiating and driving projects to completion with minimal guidanceExperience working cross-functionally and communicating technical content to general audiences, and communicating policy concepts to technical audiences Preferred Qualifications:PhD or JD5+ years of work experience in data or quantitative fieldExperience working in technology industryExperience identifying and addressing civil rights issues across protected classesExperience with Hive, Presto/SQL, Spark, and Source Control (Git/Mercurial)Experience writing and editing academic publications About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

About the Company: Join a pioneering Google Brain spinout at the forefront of AI and ML technology, where human-computer collaboration is not just a concept but a reality. Our team is dedicated to revolutionizing user experiences by innovating at every level, from user interfaces down to the most efficient models. Our founders have already published one of the most revolutionary papers of the century, and that is only the start of their success...We've raised $65M in funding from top-tier investors (including NVIDIA & AMD) to advance our mission to enhance human efficiency through human feedback and LLMs, enabling users and organizations to enhance their impact on society.About the Role, MTS, Applied ML Research Scientist: You'll collaborate with cross functional teams to enhance product experiences using LLM's for enterprises, develop custom solutions for design partners & customers, guide model development, and create educational resources to facilitate customer onboarding and feedback collection.What We Offer You:A role where your contributions have a direct impact on groundbreaking AI advancements.A collaborative, innovative environment that fosters growth and learning.Competitive compensation and benefits, including relocation assistance for those moving to San Francisco.Access to cutting-edge technology and resources.Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing

tl;drGeneral Proximity is a seed-stage startup developing the next generation of induced-proximity medicines. Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades.We are seeking first-rate lead discovery scientists to help us pioneer this uncharted frontier of drug discovery.Our StoryA long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or "undruggable" targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition, but there are many other possible perturbation types whose potential remains unrealized.General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach).Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines, and our technology holds the same promise.The PositionWe are seeking an experienced Lead Discovery Scientist to be a member of our Platform/Drug Discovery Team. In this position, you will work in close conjunction with our Biology Team in the development of our core drug discovery technology and the generation of a completely novel class of therapeutics.Your responsibilities will include leading the design and execution of lead discovery campaigns to identify novel small molecule hits and advance them through hit-to-lead and lead optimization stages, working with the Platform and Biology teams to develop and implement biochemical and cell-based assays for hit identification and lead optimization, evaluating compound potency, selectivity, and mechanism of action, biophysical and biochemical assay development, and expressing, purifying, and characterizing target proteins for structural studies.About YouHigh Agency. Initiative, independence, and self-accountability are some of our most valued traits.Enthusiastic. We love people who are excited about what they are doing and are generally attempting to build a high-energy team.Intensity and Grit. Early-stage startups are hard. Drug discovery is doubly so. We are looking for candidates who have a demonstrated ability to stick with complex problems for the long haul, with a team that has your back along the way.Prosocial. We are here to create life-saving medicines for the patients who need it most. You should be, too.Qualifications & Nice-To-HavesPhD in Biochemistry, Biophysics, Structural Biology, or a related field.Proficiency in: Strong expertise in the design and execution of lead discovery campaigns using HTS techniques such as DEL and SMM Strong expertise in phenotypic cell-based assay development Experience in biochemical and biophysical assay development (e.g., SPR, BLI, DSF, etc.) Experience in PPI techniques (e.g., BRET, APEX/BioID, AlphaScreen) Mammalian cell culture, molecular biology/cloning, PCR, and other common biology techniques like western blotting, flow cytometry, microscopy Familiarity with automatic, robotic dispensers, liquid handlers Strong problem-solving skills and the ability to work independently as well as part of a team Strong written and oral communication skills Nice to have:2+ years of post-degree experience Familiarity or experience with PROTAC/next-gen IPM technologies Experience in computational drug discoveryExperience in protein expression, purification, and structural characterization techniques such as X-ray crystallography, cryo-EM, and computational modeling Experience in indication selection Prior experience on teams that have successfully advanced research to the clinicBenefitsStrong equity incentives. We are looking for candidates who will bring a strong sense of ownership to drive their project areas forward, and we believe that you deserve to be compensated accordingly.Top tier medical, dental, and vision coverage + One Medical membership.401(k) retirement plans.Education and health/fitness incentive programs.Meditation retreats-do a ten-day Vipassana retreat without counting towards vacation days. Reading budget! We will buy you books. ????Located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub full of the best scientists and operators the Bay Area has to offer. Our lab is a very short walk from the 22nd St Caltrain Station and a number of wonderful restaurants and cafés.About UsWork Hard/Play Hard. We believe time is our most valuable commodity, so we strive to create a culture that reflects this. We won't drag you through unnecessary meetings or email you at 7 PM on a Saturday. When we're at work, we're there to get things done, and when we're off, we're really off. ????Strong Communication. We like well-written documents over PowerPoints, OKRs over vague mission statements, and weekly one-on-ones over yearly reviews.Writing First. We have a "writing-first" culture. We believe that clarity of writing reflects clarity of thinking and that the benefits of well-written documentation in a scientific environment are innumerable: democratization of ideation and decision-making, increased reproducibility, quicker scaling and onboarding, and better company-wide alignment, to name a few.Growth. As an early-stage startup, we value scientists with an independent, can-do attitude. The more hats you can wear, the better. Our job as employers is to put you in positive feedback loops so you can grow in the direction of your choosing.Title and compensation commensurate with experience. Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed. We look forward to hearing from you. :)More info at jobs.generalproximity.bio

Job DescriptionAs part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.How will you make an impact?Thermo Fisher Scientific is making a significant investment in the dynamic and rapidly growing Cell Therapy space. Our Cell Therapy organization within the Advanced Therapy Business Unit, is one of the fastest growing areas of Thermo Fisher Scientific. We operate a 44,000-square-foot, innovative cell therapy collaboration center on the UCSF Mission Bay campus. Opened in 2023, the facility serves as a central location where customers and UCSF researchers will have access to Thermo Fisher Scientific's broad portfolio of solutions and clinical and commercial cGMP cell therapy manufacturing services, along with associated technology development support to our partners. In the Cell Therapy unit, we focus on providing development and clinical/commercial scale services for gene and non-gene modified cell processing for a variety of unmet medical needs.The Scientist III, Manufacturing Sciences is the technical program lead for customer process transfers and serves as process SME, reporting to the Manager, Manufacturing Sciences.What will you do? Demonstrate the highest example of safety and quality mindedness in all job functionsCultivate an atmosphere of continuous improvement, empowerment (appropriate to job level), and an error preventionOwn technology transfer and implementation of new production processes, with the objective to produce new clinical trial products within the facilityParticipate in customer core teams as the technical operations lead for that projectTroubleshoot activities for the production processes with the objective to guarantee that the product is delivered in time, and meets quality standardsOptimize production processes with the objective to improve costs, speed and qualityImplement new technology within the production facilityWork with different functional groups to ensure timely completion of program deliverables and milestonesEnsure timely completion of documentation packages for production scale processes, including, but not limited to:Applicable SOPs, Tech Transfer Master Plans, PFDs (including all disposable line builds for each program), Technology Transfer Protocols, Process Risk Assessments, and Campaign Summary reportsInform process development decisions with respect to facility fit and the manufacturability of development programs. Thereby, providing PD with the information required to develop fit for Suite/Site processes (i.e. raw material preferences, standard procedures, preferred operating methodologies)Maintain a customer and patient centric attitude to support technology transfer and batch executionModify or improve procedures as required to streamline departmental processesIdentify deviations, aid in investigations/root cause analysis/product impact assessment, and provide input on major/critical deviationsPerform technical review of Master Batch Records (MBRs), as well as, completed MBRsHow will you get here?EducationMinimum Education Required: Bachelor's degree in biological science or engineering fieldMaster's degree in biological science or engineering field preferred.Experience4+ years of relevant cGMP experience in a manufacturing pharmaceutical/biotech environment or related areasAseptic cell culture processing in ISO 5 biosafety cabinets while using universal precautions for handling of human-derived materials preferredCell therapy manufacturing experience requiredCell therapy automation technologies, closed system culture vessels, cell washers, cell separation technologies for autologous/allogenic product manipulation requiredKnowledge, Skills, AbilitiesAbility to collaborate with external customers in a professional manner, to provide updates and record actions to be shared with members of the teamAbility to drive safety, quality, functional, technical and operational excellence.Ability to encourage and champion innovation, collaboration, visibility and team efficiency.Ability to drive Customer Experience and a Commitment to Excellence.Ability to make timely decisions and knowing when to delegateAbility to work within cross functional teams and provide governance on project teamsUnderstanding 'why' and not just the 'how' of processes and practicesSolid understanding of cGMP practicesDeviation investigations, root cause analysis, and risk assessmentCell culture and aseptic techniquesRecognition of problems developing, not just occurringEffective written, interpersonal, and presentation skills.Ability to work on multiple projects simultaneouslyExpert knowledge of mammalian cell cultureLeadership of people in multi-disciplinary technical and scientific teamsExpert knowledge of regulatory guidelines: EU, US, Australian, ICH, etc.Leader in Operational ExcellenceAbility to travel up to 20%Ability to support weekend and/or night work as neededExcellent MS Office skillsOur Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one global team of 100,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.Apply today! http://jobs.thermofisher.comThermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.Accessibility/Disability AccessJob Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.*This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.Compensation and BenefitsThe salary range estimated for this position based in California is $90,900.00-$136,350.00.This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:A choice of national medical and dental plans, and a national vision plan, including health incentive programsEmployee assistance and family support programs, including commuter benefits and tuition reimbursementAt least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policyRetirement and savings programs, such as our competitive 401(k) U.S. retirement savings planEmployees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discountFor more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Creator Marketing contributes directly to Meta's mission by connecting creators with their audiences and helping them grow through a variety of creator focused tools and features. We succeed when we help our creators grow on our platforms and engage with their audience in meaningful ways. As a result, our marketing team seeks to understand how our creators feel about our products and their experience on our platforms so that we can help them better understand Meta's intent and guide our creators to key features.The Creator Marketing Data Science team is seeking an exceptionally skilled data scientist who excels at the intersection of data, human behavior, marketing, product development, and engineering. In this capacity, the Data Scientist will conduct experiments, develop models, and provide valuable insights into our creator base, identify potential opportunities, and evaluate the effectiveness of our marketing strategies and tactics. The ideal candidate will possess a passion for problem-solving, innovation, delivering data-driven insights, and thriving in a fast-paced and dynamic work environment. Data Scientist, Creator Marketing Responsibilities: Applies multiple statistical approaches as neededWrites elegant, reproducible code as needed to execute analysesDraws insights from quantitative data and begins to identify deeper-level implicationsTake advantage of massive amounts of structured data to understand how our customers interact with our product and service offeringsProactively identify opportunities to improve the experience of creators on the Meta family of appsLead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendationsPartner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniquesDesign and execute experiments (e.g., A/B testing, multi-armed bandit)Communicate insights and recommendations to marketing leads and influence strategic decision-making Minimum Qualifications:4+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization4+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental designExperience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)Experience with stakeholder communication and presentation skillsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications:An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations ResearchSelf-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidanceProven track record of leveraging data to deliver business value and present data-driven insights to senior leadersExperience developing data pipelines via SQL and Python-based ETL frameworkExperience with online marketing and advertising data analysisExperience building cross functional relationships across a variety of functions to launch projects to drive business valueExperience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers) About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

Role: Field Application Scientist, North AmericaTerritory: North America, mainly California and New England (remote base in CA)For our east and west coast FAS connections - Mason Harding is searching for a newly created Field Application Scientist for a novel player in the label-free Cell Imaging sector!This national opportunity is suited to any well established FAS located across the west coast (ideally either San Francisco or San Diego) from the Flow Cytometry, High Content Imaging, Microscopy or Cell Analysis sector, looking to join a rapidly expanding US team in a high impact role.You will add value to nationwide researchers across Immuno-Oncology/adoptive cell therapies, Single Cell analysis, Neuroscience and many more innovative fields in the biotech/biopharma and academic settings, supporting critical pre and post-sales activities in partnership with the technical sales team.Successful applicants will be able to demonstrate:3-5+ years proven FAS experience supporting High Content/Live cell/Fluorescent Imaging, Microscopy, Flow Cytometry or Cell Analysis instrumentation; strong preference for High Content/Live cell Imaging exposure.PhD educated in related life science discipline; Immunology or cellular biology would be great!Established network supporting Biopharma/Biotech, Academia and Clinical research institutes across the east and west coast region.Must be based on the west coast; ideally in either San Francisco or San Diego and comfortable with >50% travel across North America as required.Please send a copy your updated resume via the apply button below.Keywords: high content imaging, microscopy, confocal, live cell imaging, multi-parametric flow cytometry, cell sorter, cell sorting, spectral flow cytometry, cell analysis, FACS, Boston, New England