Manager, Data Science & AI Delivery Lead – Clinical Development and Medical Affairs

Gilead Sciences, Inc; Raleigh (NC); Hybrid; USD 127,000 - 164,000; Full time

Job summary

Gilead Sciences Inc. in Raleigh, NC, is seeking a Manager, Data Science & AI Delivery Lead to design and deliver advanced analytics, ML and generative AI for Clinical Development and Medical Affairs.

This hybrid role combines hands-on leadership with end-to-end ownership of data products. The successful candidate will lead cross-functional teams, ensure scientific credibility, regulatory compliance and measurable business outcomes, and drive adoption across clinical and medical workflows in a

Qualifications

• Bachelor’s degree in data science, statistics, computer science, engineering, applied mathematics, bioinformatics, life sciences or related discipline with 6+ years of experience, or a master’s with 4+ years.
• Hands-on experience with Python, SQL and data science libraries.
• Experience delivering data science products from prototyping to production.

Responsibilities

• Lead discovery with stakeholders to define analytical questions and success metrics.
• Prototype and productionize ML/NLP/AI solutions with robust validation.
• Coordinate with data engineering, MLOps, architecture, platform, security and QA teams.
• Own end-to-end delivery including roadmap, sprint execution and adoption.

Skills

Python

SQL

Machine learning

NLP

Generative AI

Data exploration

Feature engineering

Experimentation

Model development

Agile delivery

Stakeholder management

Education

Bachelor’s degree in data science or related field

Master’s degree (optional)

Tools

Databricks

AWS

MLflow

Vector search

Retrieval-augmented generation

LLM evaluation

Veeva

Job description

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

Manager, Data Science & AI Delivery Lead - Clinical Development and Medical Affairs

As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking a Manager, Data Science & AI Delivery Lead to design, develop and deliver advanced analytics, machine learning and generative AI solutions across Clinical Development and Medical Affairs. This role combines hands-on data science leadership with end-to-end delivery accountability, translating high-value business and scientific problems into validated, scalable and adopted data products.

The successful candidate will lead data exploration, feature engineering, model development, experimentation and evaluation while coordinating multidisciplinary teams from discovery through production. The role will partner with clinical, medical and technology stakeholders to ensure solutions are scientifically credible, technically robust, compliant, measurable and integrated into business workflows.

This position is based in Raleigh, North Carolina (hybrid-eligible).

Key Responsibilities

• Lead discovery with Clinical Development and Medical Affairs stakeholders to define analytical questions, hypotheses, target outcomes, success measures and product requirements.
• Perform hands-on data exploration, data preparation, feature engineering, statistical analysis and model prototyping using clinical, operational, medical and scientific datasets.
• Design, develop and evaluate machine learning, natural language processing and generative AI solutions appropriate to the business problem, data quality and regulated context.
• Establish rigorous experimentation and evaluation approaches, including baseline comparisons, error analysis, robustness testing, explainability, bias assessment and human-in-the-loop review.
• Translate prototypes into production-ready solutions by partnering with data engineering, MLOps, architecture, platform, security, privacy and quality teams.
• Own end-to-end delivery for assigned data science and AI products, including scope, roadmap, backlog, sprint execution, dependencies, release readiness, adoption and continuous improvement.
• Develop epics, user stories, acceptance criteria and validation evidence that connect model performance to user needs and measurable business or scientific outcomes.
• Guide data scientists and delivery partners on analytical methods, coding quality, reproducibility, documentation, model evaluation and responsible AI practices.
• Support development and monitoring of data pipelines, feature stores, model services, APIs and analytical applications using approved enterprise platforms.
• Define and track data quality, model performance, drift, reliability, user adoption, cycle-time improvement and value-realization metrics.
• Ensure solutions comply with applicable data governance, privacy, security, validation and GxP requirements.
• Maintain model documentation, experiment records, technical specifications, operating procedures and production-support runbooks.
• Manage vendors and co-sourced teams, remove delivery blockers, elevate risks and communicate technical trade-offs and progress to stakeholders and leadership.

Skills and Experiences

• Bachelor’s degree in data science, statistics, computer science, engineering, applied mathematics, bioinformatics, life sciences or a related discipline and 6+ years of relevant experience; or a master’s degree and 4+ years of relevant experience.
• Hands-on experience developing statistical, machine learning, NLP or generative AI solutions using Python, SQL and commonly used data science libraries.
• Experience with supervised and unsupervised learning, experimental design, feature engineering, model evaluation, error analysis and interpretation of analytical results.
• Experience delivering data science products from problem definition and prototyping through production deployment, monitoring, adoption and enhancement.
• Working knowledge of data pipelines, cloud platforms, APIs, version control, automated testing, model lifecycle management and MLOps practices.
• Experience leading Agile delivery, including roadmap development, backlog prioritization, sprint planning, release coordination, dependency management and risk escalation.
• Ability to assess data fitness and communicate uncertainty, model limitations, technical trade-offs and recommendations clearly.
• Strong stakeholder management and communication skills across clinical, medical, scientific and technical audiences.

Preferred Qualifications

• Experience applying data science or AI in Clinical Development, clinical operations, clinical data management, biostatistics, safety, regulatory, quality or Medical Affairs.
• Experience with clinical trial, real-world, medical insights, publications, scientific literature or other life sciences datasets.
• Experience in a GxP-regulated environment and familiarity with model documentation, privacy, validation and responsible AI controls.
• Experience with Databricks, AWS, MLflow, vector search, retrieval-augmented generation or large language model evaluation.
• Familiarity with Veeva, clinical trial management systems, electronic data capture platforms, safety systems or CRM platforms.
• Experience leading vendors or co-sourced technical teams and establishing measurable adoption and business-value outcomes.

The salary range for this position is: $126,565.00 - $163,790.00. 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.

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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 [e-mail] for assistance.

For more information about equal employment opportunity protections, please view 'Know Your Rights' poster.

NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT. YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT.

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.

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.