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 approaches.
Develop and deploy cutting-edge analytical methods tailored to Lilly's discovery challenges, building workflows that integrate multiple approaches (e.g., physics-based and data-driven) to harness complementary strengths.
Work alongside discovery project teams to translate complex scientific questions into tractable analytical problems, driving analyses that directly inform compound prioritization, design recommendations, and mechanism of action hypotheses.
Collaborate with Architecture4Insight to deploy analytical methods as accessible tools and agent-ready capabilities with well-defined APIs for autonomous AI decision-making.
Identify strategic data gaps in your domain and partner with Scale4Insight to design targeted experiments that generate data in high-value areas.
Establish best practices for method validation, including prospective testing against experimental outcomes, and demonstrate impact through tracked metrics: decisions influenced, hypotheses generated, and timelines accelerated.
Collaborate across all Data Foundry pillars and with Frontier AI to ensure analytical capabilities are fully integrated into the broader discovery ecosystem.
Publish peer-reviewed research, present at scientific conferences, and build analytical literacy across the organization.
Mentor junior computational scientists and contribute to a culture of scientific rigor, reproducibility, and continuous improvement.

Requirements

MS/Ph.D. in Cheminformatics, Computational Biology, Biophysics, Applied Mathematics, Computer Science, Statistics, or a related quantitative field
6+ years of experience developing and applying analytical methods in drug discovery or related life sciences fields
Deep expertise in at least one analytical domain with demonstrated impact on scientific outcomes
Strong programming skills in Python, R, or similar scientific computing languages
Publications in peer-reviewed journals demonstrating contributions to your analytical domain
Ability to explain complex analytical concepts clearly to non-computational scientists
Track record of deploying analytical methods that influenced real scientific decisions or discoveries
Breadth across multiple analytical approaches, with experience both developing novel methods and adopting external approaches
Familiarity with software engineering practices and deploying research code in production environments
Experience mentoring junior scientists or managing interns/postdocs
Ability to communicate effectively across scientific, technical, and executive audiences
Passion for mentoring and empowering others.

Benefits

eligibility to participate in a company-sponsored 401(k)
pension
vacation benefits
eligibility for medical, dental, vision and prescription drug benefits
flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
life insurance and death benefits
certain time off and leave of absence benefits
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analytical methodsPythonRscientific computingmethod validationdata-driven approachesphysics-based approachesexperimental outcomessoftware engineering practicesdeploying research code

Soft Skills

mentoringcommunicationcollaborationscientific rigorreproducibilitycontinuous improvementexplaining complex conceptsbuilding analytical literacyinfluencing decisionsempowering others