Associate Vice President - Methods4Insight, Data Foundry
Eli Lilly and Company
2 months ago
On-site
Boston, MA
$259,500 - $380,600 USD yearly
IT
Position Summary
- Lead the analytical methods and computational science pillar within Data Foundry, directing a team of domain experts spanning cheminformatics, computational structural biology, statistical modeling, and AI/ML.
- Ensure Lilly has access to advanced analytical approaches across molecule discovery domains for both human scientists and autonomous AI agents.
- Partner with Architecture4Insight, Scale4Insight, and Preparedness4Insight to deploy analytical methods on robust infrastructure, integrate into real-time experimental workflows, and embed data quality/governance standards.
Responsibilities
- Serve as the strategic leader for analytical methods across Data Foundry; establish Methods4Insight as the authoritative source for analytical guidance.
- Build and maintain a portfolio of analytical capabilities (e.g., QSAR/QSPR, molecular docking, free energy calculations, molecular dynamics, Bayesian experimental design, active learning, deep learning, generative models).
- Make build-versus-buy-versus-adopt decisions for analytical capabilities.
- Identify strategic “data deserts” and fill gaps using targeted in silico modeling and/or high-throughput experimental data generation.
- Establish rigorous evaluation/validation frameworks, including prospective validation protocols and impact metrics.
- Collaborate with the Frontier AI group to design “agent-ready” methods (APIs, structured inputs/outputs, error handling, uncertainty quantification).
- Collaborate with Architecture4Insight, Scale4Insight, and Preparedness4Insight to integrate Methods4Insight across Data Foundry and the broader discovery ecosystem.
- Build and lead a team of domain experts; foster a culture of continuous learning and innovation.
- Champion scientific rigor, reproducibility, and continuous improvement.
Basic Requirements
- Ph.D. in Cheminformatics, Computational Biology, Biophysics, Applied Mathematics, Computer Science, Statistics, or related quantitative field with strong drug discovery application.
- 15+ years developing, evaluating, and deploying analytical methods for drug discovery, with significant pharmaceutical or biotechnology industry experience.
Additional Preferences
- Deep expertise in at least one analytical domain with broad understanding across drug discovery analytics.
- Strong statistical foundations for classical and modern ML methods.
- Thought leadership (publications, presentations, or other recognition).
- Experience leading multidisciplinary computational teams in a global, matrixed organization.
- Breadth across computational disciplines; ability to integrate approaches.
- Experience evaluating/adopting external methods, tools, and platforms.
- Strong communication and collaboration across scientific, technical, and executive stakeholders.
- Track record driving innovation in analytical methods.
- Passion for mentoring and empowering teams.
Physical Demands/Travel
- Office environment; travel required.
Compensation/Benefits
- Anticipated base wage: $259,500–$380,600.
- Eligible for a company bonus (depending on company and individual performance).
- Comprehensive benefits program (including 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, and well-being benefits).
Application Instructions
- If you need accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation
- Lead the analytical methods and computational science pillar within Data Foundry, directing a team of domain experts spanning cheminformatics, computational structural biology, statistical modeling, and AI/ML.
- Ensure Lilly has access to advanced analytical approaches across molecule discovery domains for both human scientists and autonomous AI agents.
- Partner with Architecture4Insight, Scale4Insight, and Preparedness4Insight to deploy analytical methods on robust infrastructure, integrate into real-time experimental workflows, and embed data quality/governance standards.
Responsibilities
- Serve as the strategic leader for analytical methods across Data Foundry; establish Methods4Insight as the authoritative source for analytical guidance.
- Build and maintain a portfolio of analytical capabilities (e.g., QSAR/QSPR, molecular docking, free energy calculations, molecular dynamics, Bayesian experimental design, active learning, deep learning, generative models).
- Make build-versus-buy-versus-adopt decisions for analytical capabilities.
- Identify strategic “data deserts” and fill gaps using targeted in silico modeling and/or high-throughput experimental data generation.
- Establish rigorous evaluation/validation frameworks, including prospective validation protocols and impact metrics.
- Collaborate with the Frontier AI group to design “agent-ready” methods (APIs, structured inputs/outputs, error handling, uncertainty quantification).
- Collaborate with Architecture4Insight, Scale4Insight, and Preparedness4Insight to integrate Methods4Insight across Data Foundry and the broader discovery ecosystem.
- Build and lead a team of domain experts; foster a culture of continuous learning and innovation.
- Champion scientific rigor, reproducibility, and continuous improvement.
Basic Requirements
- Ph.D. in Cheminformatics, Computational Biology, Biophysics, Applied Mathematics, Computer Science, Statistics, or related quantitative field with strong drug discovery application.
- 15+ years developing, evaluating, and deploying analytical methods for drug discovery, with significant pharmaceutical or biotechnology industry experience.
Additional Preferences
- Deep expertise in at least one analytical domain with broad understanding across drug discovery analytics.
- Strong statistical foundations for classical and modern ML methods.
- Thought leadership (publications, presentations, or other recognition).
- Experience leading multidisciplinary computational teams in a global, matrixed organization.
- Breadth across computational disciplines; ability to integrate approaches.
- Experience evaluating/adopting external methods, tools, and platforms.
- Strong communication and collaboration across scientific, technical, and executive stakeholders.
- Track record driving innovation in analytical methods.
- Passion for mentoring and empowering teams.
Physical Demands/Travel
- Office environment; travel required.
Compensation/Benefits
- Anticipated base wage: $259,500–$380,600.
- Eligible for a company bonus (depending on company and individual performance).
- Comprehensive benefits program (including 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, and well-being benefits).
Application Instructions
- If you need accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation