Senior Data Scientist jobs at CVS Health - 1803 jobs

Grow your career at Cedars-Sinai! Cedars-Sinai Medical Center has been named to the Honor Roll in U.S. News & World Report's “Best Hospitals 2025-2026” rankings. When you join our team, you'll gain access to our groundbreaking biomedical research facilities and sophisticated medical education programs. We offer learning programs, tuition reimbursement and performance-improvement projects so you can achieve certifications and degrees while gaining the knowledge and experience needed to advance your career. We take pride in hiring the best, most hard-working employees. Our dedicated doctors, nurses and staff reflect the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a dynamic, inclusive environment that fuels innovation and the gold standard of patient care we strive for. What will you be doing in this role? The Biostatistician I perform a variety of standard programming and analytical assignments. Assists in the preparation of data sets, statistical analyses, and writing statistical results. Provides statistics deliverables of ongoing clinical or research studies, runs statistical software, and may maintain database programs and databases. Primary Job Duties and Responsibilities: Provides statistical analysis for projects using appropriate statistical and computing methodologies and assists in the interpretation and presentation of results. Assists with writing statistical sections of manuscripts, publications, grant applications and protocols. Ensures documentation and summarization of the statistical analyses results are clear, consistent and in an organized fashion. Critically reviews and summarizes statistical analysis methods described in statistical literature. Implements methods described in the statistical literature into operational computer applications using appropriate programming languages. Participates in professional meetings to assure positive representation at local, national and international levels. May maintain database programs/databases and may prepare or update documentation of database and other software programs. Qualifications Education: Bachelor's degree in Biostatistics, bioinformatics, or relevant field such as genetics or epidemiology. Master's degree preferred. Experience and Skills: 2 years of experience and working knowledge of database programs and biostatistics applied to research preferred. Experience with and thorough knowledge of bio statistical computer programs and programming required. Req ID : 14030 Working Title : Biostatistician I - Special Testing Lab Department : Special Testing Lab Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Biostatistics Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $77,022.40 - $119,392.00

Become a part of our caring community and help us put health first Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross‑functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally‑aligned AI solutions. You will help ensure that our AI systems are innovative, high‑impact, and always guided by Humana's core values and regulatory standards. Key Responsibilities Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. Drive and contribute to R&D efforts to advance innovative, high‑impact, and ethically‑grounded AI solutions in healthcare. Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. Partner cross‑functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. Serve as an internal consultant and subject matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non‑technical stakeholders. Use your skills to make an impact Required Qualifications Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. Proficiency in development of Python software tools and applications for data scientists. Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards Extensive hands‑on experience developing and deploying Generative AI and traditional machine learning applications at scale Experience with analysis of structured and unstructured data, and building end‑to‑end analytical workflows. Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real‑world projects. Proven ability to collaborate with cross‑functional teams to address complex governance challenges. Excellent communication skills, with the ability to convey technical and ethical considerations to non‑technical stakeholders. Preferred Qualifications Prior experience working in healthcare, health tech, or highly regulated industries. Record of publication or thought leadership in Responsible AI or related fields. Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well‑being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work‑Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well‑being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities. Application Deadline: 12-01-2025 About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our link. #J-18808-Ljbffr

Become a part of our caring community and help us put health first Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross‑functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally‑aligned AI solutions. You will help ensure that our AI systems are innovative, high‑impact, and always guided by Humana's core values and regulatory standards. Key Responsibilities Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. Drive and contribute to R&D efforts to advance innovative, high‑impact, and ethically‑grounded AI solutions in healthcare. Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. Partner cross‑functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. Serve as an internal consultant and subject‑matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non‑technical stakeholders. Use your skills to make an impact Required Qualifications Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. Proficiency in development of Python software tools and applications for data scientists. Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards Extensive hands‑on experience developing and deploying Generative AI and traditional machine learning applications at scale Experience with analysis of structured and unstructured data, and building end‑to‑end analytical workflows. Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real‑world projects. Proven ability to collaborate with cross‑functional teams to address complex governance challenges. Excellent communication skills, with the ability to convey technical and ethical considerations to non‑technical stakeholders. Preferred Qualifications Prior experience working in healthcare, health tech, or highly regulated industries. Record of publication or thought leadership in Responsible AI or related fields. Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well‑being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work‑Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well‑being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities. Application Deadline: 11-16-2025 About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our accessibility resources. #J-18808-Ljbffr

A healthcare insurance company is looking for a Senior Responsible AI Data Scientist to champion the ethical development of AI solutions. Key responsibilities include supporting ethical standards in AI initiatives, collaborating with various teams, and driving R&D for innovative solutions. Candidates should have a background in quantitative fields and be proficient in Python and AI application development. This position is fully remote and offers competitive benefits. #J-18808-Ljbffr

A leading healthcare organization is seeking a Senior Responsible AI Data Scientist to lead ethical AI development initiatives. This role requires expertise in AI and machine learning, focusing on collaboration across various departments to ensure responsible AI practices. Candidates should have a strong foundation in software development and a passion for advancing responsible AI strategies. This is a remote position based in the United States. #J-18808-Ljbffr

Become a part of our caring community and help us put health first The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting‑edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are seeking a Principal Data Scientist to guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilities AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models. Ensure responsible development aligned with Humana's ethical standards, focusing on transparency, safety, and real‑world impact. Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision‑making in healthcare. Enterprise Integration & Business Collaboration Embed AI into Humana's systems and workflows. Partner with business teams to understand challenges, co‑create solutions, and communicate AI capabilities clearly-especially around generative AI. Design for scalability, reliability, and compliance. MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Advanced Machine Learning & NLP Applications Possesses extensive experience in applying advanced machine learning, NLP, Generative AI techniques, etc. to business problems and delivering end‑to‑end enterprise grade solutions. Data Engineering Develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Reporting & Presentation Creates reports, projections, models, and presentations to support business strategy and tactics. Strategic Partnerships Works with senior executives to develop and drive segment or enterprise‑wide functional strategies. Senior Advisory Advises one or more areas, programs or functions and provides recommendations to senior executives on matters of significance, and as an advanced subject matter expert competent to work at very high levels in multiple knowledge and functional areas across the enterprise. Use your skills to make an impact Required Qualifications Educational Background : Master's degree or Ph.D. in Data Science, Computer Science, Artificial Intelligence, or a related field. Experience : Minimum of 10 years of relevant experience in data science. 5+ years specifically focused on AI and NLP applications. Technical Skills : Proficiency in programming languages such as Python or R, with extensive experience in NLP libraries (e.g., NLTK, spa Cy, Hugging Face Transformers) and frameworks like TensorFlow or PyTorch for model development. Analytical Expertise : Demonstrated ability to process and analyze large textual datasets, extracting meaningful insights, building predictive models, using generative AI techniques. Communication Skills : Exceptional verbal and written communication skills, with a proven ability to articulate complex concepts in a clear and concise manner to diverse audiences, including non‑technical stakeholders. Problem‑Solving Skills : Strong analytical and critical thinking abilities, with a track record of delivering data‑driven solutions in a fast‑paced environment. Preferred Qualifications Industry Knowledge : Familiarity with the healthcare sector, specifically Medicare Advantage, and an understanding of regulatory frameworks and market dynamics. Advanced Technical Skills : Experience with cloud‑based AI solutions (e.g. AWS, Azure) and familiarity with data visualization tools such as Tableau or Power BI for presenting findings. Leadership Experience : Proven experience in a leadership capacity, mentoring junior data scientists and managing cross‑functional projects that leverage generative AI and NLP. Research Contributions : Publications in reputable journals or conferences related to AI, NLP, or machine learning, demonstrating thought leadership in the field. Certifications : Relevant certifications in machine learning or NLP, such as those offered by recognized institutions or organizations (e.g., TensorFlow Developer Certificate, NLP Specialization by deeplearning.ai). 3 - 5 years project and/or people leadership experience Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well‑being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work-Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well‑being program Paid Volunteer Time Off Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $156,600 - $215,400 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities. Application Deadline: 11-13-2025 About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our *************************************************************************** #J-18808-Ljbffr

A leading health insurance provider in Boston is seeking a Senior Data Scientist to lead high-value projects within the Actuarial and Analytics department. This role involves using advanced data science techniques to solve complex healthcare business problems. The ideal candidate will have substantial experience in healthcare data analysis, machine learning, and data visualization within a collaborative environment. A comprehensive benefits package and flexible work arrangements are offered. #J-18808-Ljbffr

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Our work is conducted primarily on-site at our client location in Bethesda, MD. Fun stuff you will do: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement To be successful in this role you need the following (required): B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph Proficiency in one or more scripting languages such as Python Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL) Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won't fit in memory. Track record of active learning and creative problem solving Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. Familiarity using git or other version control technologies Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing. Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

United States - California - Foster City Clinical Development & Clinical Operations Regular Gilead's AI Research Center(ARC) is looking for a Senior Data Scientist to spearhead the development of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide technical expertise and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be an innovator in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands‑on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager‑like role, drive the development of these solutions from proof‑of‑concept to production. Drive Breakthroughs: Research and develop cutting‑edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state‑of‑the‑art techniques to maintain a competitive edge. Basic Qualifications Doctorate and 2+ years of relevant experience OR Master's and 6+ years of relevant experience OR Bachelor's and 8+ years of relevant experience Preferred Qualifications Education: PhD with 2+ years of experience in data science within biotech or technology or Master's with 8+ years. A degree in Software Engineering, Biomedical Engineering, Chemical Engineering, Computational Sciences, Biostatistics, or a similar field is required. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands‑on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud‑Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production‑ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Project Skills: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. • Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! #J-18808-Ljbffr

* MA/MS or PhD/PharmD and 12+ years of relevant experience BA/BS and 14+ years of relevant experience; OR* Additional training or certification in data science, informatics or digital transformation preferred.* At least 5 years in leadership role managing teams across informatics, data science, or digital technologies applied to R&D or technical operation* Proven experience integrating data and digital tools into R&D workflows (for example PAT, lab informatics, digital twins, AI/ML for process optimization or predictive quality)* Demonstrated enterprise mindset with ability to align Technical Development needs to enterprise platforms and solutions, ensuring scalability, interoperability, and long-term business value.* Proven success leading digital initiatives from strategy through implementation.* Established data acumen, understanding of advanced analytics, data architecture, and data engineering* Strong AI fluency with experience deploying both everyday AI tools for general use and custom AI and digital solutions in a technical environment* Knowledge of data governance principles, systems integrations, and metadata management is a plus.* Visionary leader who can define and execute a digital and data strategy for technical development* Excellent collaborator with scientists, engineers, IT, manufacturing and others* Change agent with the ability to inspire adoption and build digital fluency across teams* Track record of building and managing high-performing, multidisciplinary teams* Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.* Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose.* Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. #J-18808-Ljbffr

A technology services firm in Bethesda, MD, is seeking a Data Scientist to enhance national security through data analytics. Responsibilities include collaboration with data science and software teams to create impactful analytics platforms. Candidates should have a B.S. in a quantitative field, active TS/SCI clearance, and extensive experience in data science. This role involves managing big data across different domains and presenting insights to a diverse audience. Competitive compensation and growth opportunities are offered. #J-18808-Ljbffr

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Primary Duties and Responsibilities Meet and consult with scientists requiring data science support and design plans and solutions. Delivery of results for projects. Work as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluate and benchmark new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Natural language processing experience preferred. Shiny, Spyre, Flask, WebDev and prototyping experience preferred. JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred. Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. Significant scientific background with prior experience in clinical research. Minimum Job Qualifications PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment. 5 to 8 years of experience post PhD. Prior experience supervising at least 1 person preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $131,900.00 - $142,100.00 #J-18808-Ljbffr

Shape the Future of Predictive Medicine. One-Year Project. Innovators Wanted! Are you driven by curiosity, energized by ambiguity, and passionate about transforming healthcare? Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is searching for a bold, entrepreneurial-minded Applied Data Scientist - Regulatory and Statistical for a dynamic, one-year project to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You'll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML - fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer. Ideal Candidate: Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow). Skilled in survival or clinical modeling; thrive where rigor meets speed. Startup thinkers with a thirst for discovery Individuals who thrive in fast-paced, risk-friendly environments Problem solvers who see challenges as opportunities Team players eager to see their ideas put into action Responsibilities: Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging). Collaborate with engineers to define and extract features. Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards). Translate results into clinician-friendly insights and contribute to IP and regulatory filings. Credentials & Qualifications: Master's degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Familiarity with Snowflake or modern data-engineering workflows preferred. Join a project that's not just about data - it's about revolutionizing patient care. Help us bridge the gap between today's personalized medicine and tomorrow's predictive breakthroughs. If you're ready to take risks, drive results, and change the future of medicine, apply today! Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

Who We Are Tonal is the smartest home gym and personal trainer. With cutting-edge hardware, AI-driven coaching, and the world's largest dataset of real-world strength training, we're redefining how people train. Our platform combines data from millions of workouts, sensors, and integrations to deliver personalized training, enhance coaching, and measure progress in entirely new ways. We're passionate about transforming lives through strength, performance, and health. At Tonal, innovation, science, and data come together to create a training experience that's personal, motivating, and measurable. Overview As a Staff Data Engineer, you will shape the backbone of Tonal's data platform. You'll design and scale systems that bring together massive volumes of workout, sensor, and health-related data while ensuring security, reliability, and trust. This role requires a deep understanding of compliance and security standards and the ability to build infrastructure that protects sensitive information while fueling product innovation, AI, and analytics. What You Will Do Architect secure and scalable data systems that support Tonal's growth and meet regulatory standards. Build and optimize data models and pipelines across diverse sources: sensors, workouts, health integrations, CRM, payments, and content. Establish controls for access, encryption, anonymization, monitoring, and auditability. Define and enforce best practices for managing sensitive data, including PHI and PII. Collaborate with teams across Product, Engineering, Sports Science, and Healthcare to translate needs into compliant solutions. Conduct risk assessments and implement safeguards guided by NIST frameworks. Support SOC 2 audits by documenting and demonstrating effective security controls. Mentor engineers and scientists, setting high standards for secure data engineering. Continuously evolve the platform, introducing new tools and frameworks to balance innovation with strong regulatory posture. Who You Are 8+ years of experience in data engineering, or 6+ years with a Master's degree (or equivalent). Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). Experience building pipelines with DBT, Airflow, Fivetran, or related tools. Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. Hands-on experience working with regulated environments and sensitive data. Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. Skilled in access control design, audit logging, encryption, and governance. Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. Known for technical leadership and mentoring, raising the bar for engineering quality. Extra Credit Experience with fitness, healthcare, IoT, or sensor data. Knowledge of privacy-preserving techniques (k-anonymity, l-diversity, differential privacy). Exposure to production ML/AI pipelines involving sensitive data. Background in connected fitness, digital health, or regulated healthcare products. At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

A leading fitness technology company in California is looking for a Staff Data Engineer to design and scale secure data systems. The ideal candidate will have extensive experience in data engineering and a deep understanding of compliance and security standards. Responsibilities include building data pipelines and collaborating across teams to ensure regulatory compliance. The company values diverse backgrounds and encourages applications from all qualified candidates. #J-18808-Ljbffr

A pioneering AV technology firm in San Francisco is seeking an experienced engineer to join their perception team. You'll focus on stress testing and improving their perception systems, working with state-of-the-art techniques and tools to enhance their autonomous haulage system. Ideal candidates are proficient in Python, Git, and have experience with computer vision techniques. This role offers significant growth opportunities in the innovative field of autonomous technology. #J-18808-Ljbffr

A leading identity platform company in San Francisco is seeking an experienced Data Infrastructure Engineer. You will design and maintain data platforms, implement data models, and collaborate across teams to drive analytics innovation. Ideal candidates have 3+ years in software engineering with proficiency in Python and experience in cloud technologies. This role offers comprehensive benefits and fosters a collaborative culture. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is exciting opportunity to join a high performing, collaborative team as a Data Scientist. This individual will focus on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns, predict future trends, and implement effective solutions to various challenges. This position will manage and be responsible for the successful delivery of scalable analytics solutions on Snowflake that combine structured and unstructured data, enable agentic document analytics at scale, and expose insights via natural language queries powered by LLMs (including OpenAI). Own end-to-end implementation: ingestion, unified data modeling, vectorization/embeddings, retrieval pipelines, Snowflake compute (Snowpark), and integration with LLM-driven applications. This role will be utilizing their expertise in statistical analysis, machine learning, and data visualization to analyze complex data sets, then derive actionable insights that inform business strategies and decisions. By leveraging data, they help the Stars organization understand patterns, predict future trends, and implement effective solutions to various challenges. **Key Responsibilities** + Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). + Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. + Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. + Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation-using External Functions, Snowpark, and/or secure API patterns. + Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. + Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. + Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. + Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. + Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. + Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. **Required Qualifications** **Technical Skills** + Statistical Analysis: Proficiency in statistical methods and software, such as R, SAS, and Python, to analyze data. + Data Visualization: Ability to create compelling visualizations using tools like Tableau, Power BI, and D3.js. + Database Management: Knowledge of SQL and NoSQL databases for efficient data storage and retrieval. + Programming: Strong programming skills, particularly in languages such as Python, Java, and C++. + Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). + Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. + Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. + Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation-using External Functions, Snowpark, and/or secure API patterns. + Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. + Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. + Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. + Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. + Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. + Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. **Analytical Skills** + Critical Thinking: Ability to think critically and approach problems from multiple perspectives. + Quantitative Analysis: Strong quantitative skills to interpret and manipulate data effectively. + Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and model development. **Interpersonal Skills** + Communication: Excellent verbal and written communication skills to convey complex findings to non-technical stakeholders. + Team Collaboration: Ability to work collaboratively with diverse teams to achieve common goals. + Leadership: Capability to lead projects and mentor junior team members. **Preferred Qualifications** + Experience: Relevant experience in data analysis, machine learning, and business intelligence + Certifications: Professional certifications in data science, machine learning, or business analytics can be beneficial. **Education** + Education: A bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) in these fields are highly desirable. **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $64,890.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 01/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.