Advisor, Analytical Methods (Methods4Insight
Job in
South San Francisco, San Mateo County, California, 94083, USA
Listed on 2026-08-23
Listing for:
Eli Lilly and Company
Full Time
position Listed on 2026-08-23
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer (Applied/Software), Data Analyst -
Research/Development
Data Scientist
Job Description & How to Apply Below
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.
This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Lilly Small Molecule Discoveryis an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution.
Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platformsis a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
About Data Foundry Data Foundryis a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars:
Architecture4
Insight (data infrastructure and scientific software), Methods4
Insight (analytical and computational methods), Scale4
Insight (lab automation and agentic workflows), and Preparedness4
Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.
Position Summary The Advisor/Senior Advisor, Analytical Methods will serve as a domain expert within Methods4
Insight, responsible for developing, deploying, and maintaining cutting‑edge analytical approaches in their area of expertise — such as cheminformatics, computational biology, statistical modeling, or AI/ML. This role requires deep domain knowledge to translate advanced methods into practical capabilities that accelerate molecule discovery for both human scientists and autonomous AI agents.
You will work alongside discovery project teams and supporting functions to understand scientific challenges, provide expert consultation, and develop custom solutions when existing methods fall short. You will maintain awareness of emerging methods, evaluate their value by designing and running benchmark experiments and ultimately deliver prototype implementations. You will collaborate closely with other Methods4
Insight domain experts, Architecture4
Insight, Scale4
Insight, and Frontier AI.
We're looking for someone who is an expert in their analytical domain, has a strong publication record related to novel methods and when possible publicly released code implementing them, and is passionate about advancing their field and enabling scientific impact.
What You'll Do
- Serve as the subject matter expert in your analytical domain, staying current on innovative methods and making informed recommendations about adoption, adaptation, or development of novel…
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