Sr Manager, Data Scientist, Technical Developoment

Job 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:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

• 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 employmen