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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.
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Job DescriptionJob Description
We are seeking a Senior Manager, Data Scientist, Technical Development to lead applied analytics, statistical modeling, ML/AI, and automation use cases that advance scientific insight and support priority decisions across Technical Development. This role partners with TechDev scientists, Digital Solutions, IT/platform teams, Quality, and other stakeholders to frame scientific questions, prototype and validate analytical approaches, and develop reusable, workflow-integrated decision-support capabilities. Early focus areas may include predictive modeling, LLM/GenAI-enabled knowledge management and automation, image-based or process-data modeling, stability analytics, scheduling/workflow optimization, and participation in broader enterprise AI initiatives.
Job Responsibilities:
- Lead the identification, prioritization, and evaluation of high-value data science, AI, and analytics opportunities across Technical Development, balancing scientific impact, feasibility, scalability, and organizational priorities.
- Partner with TechDev scientists to prototype, test, interpret, and iterate analytical approaches in real development workflows.
- Translate scientific and operational questions into clear analytical problem statements, including intended use, assumptions, data needs, success measures, and decision impact.
- Lead cross-functional initiatives and influence scientific, digital, and technology stakeholders to align on analytical strategies, platform capabilities, data standards, and adoption approaches.
- Design and advance scientific knowledge management capabilities, including structured knowledge assets, ontologies, knowledge graphs, retrieval systems, and GenAI-enabled scientific discovery and decision-support solutions.
- Define and implement evaluation frameworks for analytical and AI-enabled solutions, including performance measurement, validation, robustness, explainability, and adoption metrics to ensure trusted scientific use.
- Build and promote reuse of analytical assets across priority TechDev use cases and initiatives (e.g., statistical and ML/AI models, standardized datasets and features, dashboards, automation scripts, workflow patterns, code, data definitions, and analytical methods).
- Work with Digital Solutions, IT/platform teams, and other partners to move suitable analytics from exploratory work toward scalable, supportable products and workflows.
- Contribute to enterprise LLM/GenAI and data-driven solution areas in line with Responsible AI, data governance, quality, and documentation expectations.
Basic Qualifications
- BA/BS with 10+ years of relevant experience; MA/MS with 8+ years of relevant experience; or PhD with 2+ years of relevant experience in data science, statistics, computational science, engineering, informatics, or a related quantitative field.
- Multiple years of applied data science experience, including work using statistical modeling, machine learning, AI, automation, data engineering, visualization, knowledge management, or decision-support analytics.
- Strong programming skills in Python, R, or similar languages, with demonstrated ability to develop reproducible analytical workflows, reusable code, and fit-for-purpose documentation.
- Experience translating scientific or operational questions into analytical strategies, data requirements, modeling or retrieval approaches, evaluation plans, and interpretable outputs for business or scientific decision-making.
- Working knowledge of data quality, metadata, identifiers, controlled vocabularies, ontologies, knowledge graphs, data governance, scalable data pipelines, and technical infrastructure concepts relevant to reliable analytical delivery.
- Experience with methods or solution areas relevant to TechDev, such as stability modeling, image-based analytics, clone ranking or screening models, process or assay analytics, knowledge management, or scientific workflow automation.
- Effective communication and stakeholder partnership skills, including the ability to align scientific, digital, and technology stakeholders around analytical strategies, assumptions, limitations, and adoption approaches.
Preferred Qualifications
- Experience partnering with IT, engineering, data platform, or digital solution teams in cloud, platform, LLMOps, data lake, or workflow-integrated environments.
- Experience working in GMP-adjacent or regulated environments, including intended-use clarity, fit-for-purpose validation, documentation, change control awareness, and quality expectations.
- Experience coaching or guiding less experienced data scientists, analysts, scientists, or project team members on analytical methods, reproducible workflows, and responsible use of models or AI-enabled outputs.
The salary range for this position is: $182,070.00 - $235,620.00. 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:
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* 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 for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
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Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law.
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