Human Genomics and Translational Data Sciences

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Position Summary:

The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. Starting from an idea, we work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics. Our focus is the patient: by understanding the biology and pathophysiology underlying disease states, we aim to address the root cause of disease, and develop breakthrough therapies. We have one of the strongest pipelines in the industry and a track record of delivering impactful medicines that improve people’s lives.

We are seeking a visionary Human Genomics and Translational Data Sciences Lead within the DOCTA organization to drive our human genetics, proteomics, and exploratory clinical research into the future.  This role requires a forward-thinking, passionate, and collaborative leader with a deep understanding and significant track record of applying internal and external data sets for disease target identification, indication expansion, subpopulation classification, and disease mechanism understanding. You will find new ways to address scientific questions using Lilly’s large in-house datasets and deep disease state expertise, and we expect you to push the boundaries of scientific innovation.

The Human Genomics and Translational Data Sciences Lead will lead a diverse team of in-house statistical geneticists and data scientists.  You will represent the Data Science and Computational Biology (DSCB) group and DOCTA both internally and externally, including partnering with key opinion leaders and identifying strategic alliance opportunities in the human genetics and metabolism space. This is a unique opportunity to help build and advance a life-changing portfolio of medicines across research and clinical groups within DOCTA and Eli Lilly in one of the most exciting and dynamic fields of research today. 

Key Responsibilities:

• Provide scientific leadership and strategic vision in human genetics, proteomics, population data science, and clinical informatics to position Lilly at the forefront of genetics for diabetes, obesity, and complications 
• Lead and mentor a team with diverse computational background
• Develop and implement strategies to optimally use public large-scale genetic/genomic resources (population-scale biobanks, genome sequencing initiatives) and integrate with patient-derived data from clinical trials to provide novel insights for Lilly’s portfolio
• Lead efforts to analyze whole genome sequencing and proteomics data from clinical trial participants
• Align with DOCTA’s strategic priorities and drive data-driven innovative approaches to identify and validate novel therapeutic targets
• Spearhead cross-functional initiatives to translate genetic/genomic findings into actionable insights that inform drug discovery, biomarker development, and clinical trial design
• Represent Lilly at scientific conferences and engage with the broader genetics/genomics community to stay at the forefront of innovation
• Partner with internal teams to evaluate external innovation opportunities and bring insights to aid decision making
• Interpret and clearly communicate results from genetic analyses, including development of scientific manuscripts, posters, and presentations; communicate the group’s vision and progress to internal and external partners
• Implement industry-standard procedures for scientific project execution and documentation (e.g., JIRA, Confluence, Git, code review, and other documentation tools)
• Accountable for the team’s development and documentation of reproducible pipelines for genetics analyses
• Perform hands-on execution of human genetic analyses as needed
• Foster a culture of scientific excellence, collaboration, and continuous learning within the human genetics and bioinformatics group and across the organization

Key Requirements: 

• PhD or equivalent in Human Genetics, Epidemiology, Clinical Informatics, or related field with at least 5 years in a leadership role; MD + PhD preferred
• Demonstrated success in building, mentoring, and managing scienti