Director, Analytical Methods – Methods4Insight

Eli Lilly and Company

Director/Senior Director responsible for analytical methods in drug discovery at Lilly, enhancing molecule discovery with cutting-edge approaches and collaboration. Supporting various project teams and mentoring scientists also included.

Posted 4/30/2026full-timeBoston • California, Colorado, Massachusetts • 🇺🇸 United StatesSenior💰 $193,500 - $338,800 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
401(k)
Pension
Vacation benefits
Medical benefits
Dental benefits
Vision benefits
Prescription drug benefits
Flexible benefits
Life insurance
Death benefits
Employee assistance program
Fitness benefits
Employee clubs and activities

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Hard Skills & Tools

analytical methodsPythonRscientific computingmethod validationdata-driven approachesphysics-based approachesexperimental outcomesdata generationanalytical workflows

Soft Skills

mentoringcommunicationcollaborationscientific rigorexplanation of complex conceptscontinuous improvementleadershipanalytical literacyinfluencepassion for empowering others