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

At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads 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 were 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

At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads 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 were looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible together.

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 escalate risks and communicate technical trade-offs and progress to stakeholders and leadership.

Skills and Experiences

• Bachelors 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 masters 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: $126565.00 - $163790.00. 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.

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 disabilitygenetic 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 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 theKnow 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.

Please apply via the Internal Career Opportunities portal in Workday.