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United States - California - Foster City, United States of America
Hybrid
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 Sciences is seeking an AI/ML Lead to design, build, and operationalize an AI-powered platform that accelerates Legal and Compliance review of materials. The solution leverages AI models trained on regulatory requirements and tunable on Gilead products, internal materials, and best-practice templates.
You will integrate FDA and other regulatory knowledge bases alongside Gilead-specific labels and clinical data to enable faster, more consistent, higher-quality material review while reducing regulatory risk.
This is a high-impact role at the intersection of generative AI, regulatory science, and enterprise data engineering, partnering closely with Legal, Regulatory, and Compliance stakeholders
Key Responsibilities:
Model development & tuning: Build, fine-tune, and evaluate AI/LLM models trained on regulatory requirements and adaptable to Gilead products, internal content, and approved templates.
Knowledge base engineering: Design and maintain retrieval-augmented (RAG) knowledge bases incorporating FDA and other regulatory requirements, Gilead-specific product labels, and clinical data.
Review automation: Develop capabilities that check materials for label consistency, claim substantiation against clinical data, citation accuracy, balanced efficacy/safety information, and IP protection (patents, trademarks).
Data pipelines: Engineer secure, scalable ingestion and processing pipelines for diverse material types (strategy documents, ad board slides, scientific narratives, congress symposium slides, press releases, external publications, grants, market research, RFAs, and more).
Evaluation & quality: Establish evaluation frameworks, accuracy benchmarks, and human-in-the-loop validation to ensure trustworthy, auditable outputs.
Stakeholder collaboration: Collaborate with Legal, Compliance, and Regulatory teams to turn review workflows into AI-powered solutions that speed up material review while lowering regulatory risk. Serve as the bridge between business stakeholders and AI delivery converting Legal and Compliance review needs into trusted, auditable solutions that cut review time and regulatory exposure.
Governance & compliance: Ensure solutions meet data privacy, security, validation (GxP where applicable), and responsible-AI standards.
MLOps: Implement model deployment, monitoring, versioning, and continuous improvement practices.
Basic Qualifications:
Bachelor's Degree and Eight Years' Experience
OR
Masters' Degree and Six Years' Experience
Preferred Qualifications:
5+ years of experience in AI/ML engineering, with hands-on work building LLM/generative-AI applications (fine-tuning, RAG, prompt engineering).
Strong programming skills in Python and modern ML frameworks.
Experience designing knowledge bases and retrieval systems over large, unstructured document corpora.
Experience with AWS cloud AI platforms and MLOps tooling.
Solid data engineering fundamentals: pipelines, data modeling, and large-scale processing.
Experience in pharmaceutical, biotech, life sciences, or other highly regulated industries.
Familiarity with FDA and global regulatory requirements, promotional review (MLR/MRC/PRC) processes, or compliance workflows.
Experience with contract lifecycle management (CLM) systems — Apttus/Conga preferred — and contract data structures.
Knowledge of clinical data structures, product labeling, and medical/scientific content.
Experience with responsible AI, model governance, and validation in regulated environments.
Understanding of IP concepts (patents, trademarks) as applied to content review.
People Leader Accountabilities:
•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.
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.
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
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.