Associate Director, Generative AI
Gilead SciencesUnited States - California - Foster City · full time · Senior
$195,670 – $253,220
Listed on Gilead Sciences’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads generative AI product development and deployment across Gilead's commercial functions, responsible for developing strategy, managing the roadmap, and ensuring responsible AI governance. It suits experienced data science leaders with pharmaceutical commercial expertise who can bridge technical AI capabilities with business needs while navigating regulatory requirements.
Our summary, not Gilead Sciences’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Databricks
- Docker
- GDPR
- Generative Adversarial Networks (GANs)
- Generative AI
- HIPAA
- Kubernetes
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What they ask for
Required
- Bachelor's degree with 10+ years OR Master's degree with 8+ years OR PhD with 2+ years of relevant experience
- Experience in data science, analytics, computer science, or development
- Expertise developing generative AI products for insights and content generation
- Proficiency with cloud platforms such as AWS or Databricks
- Knowledge of AI regulatory frameworks including HIPAA, GDPR, FDA, and EU AI Act
- Recognized credibility as a data science expert and partner to commercial teams
- Strong written and verbal communication skills
- Ability to influence senior-level stakeholders and management
- Demonstrated ability to deliver complex programs with measurable impact
Nice to have
- 10+ years experience with Bachelor's, 8+ years with Master's, or 6+ years with PhD in relevant field
- Proven success deploying Gen AI solutions in commercial settings
- Experience scaling AI products and platforms from pilot to production
- Expertise in developing AI products for insights and content generation
- Experience with containerization and orchestration tools like Docker and Kubernetes
- Experience scouting, evaluating and piloting external AI solutions