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
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 scientific teams (3+ years managing direct reports required)
Led or played a significant role in high-impact research programs in pharma, biotech, or academia; knowledge of drug development strongly preferred
Prior experience with multiple in human genetics workflows including analysis of WGS, WES, and genotyping data for association analyses, polygenic risks score analysis, and analysis of rare variants, required
Prior experience working with clinical and observational biomedical informatics data sets, including data from clinical trials, EHRs, and large biobanks (e.g., UKBB), required
Prior experience with clinical/diagnostic genetics, including application of ACMG criteria for annotation of variant pathogenicity, strongly preferred
Strong track record of publications in top-tier journals
Strong collaborative approach with outstanding communication and interpersonal skills to engage cross-functional teams and external partners
Ability to prioritize and manage multiple competing priorities within a fast-paced environment
Demonstrated ability to lead and manage successfully within a matrixed organization
Strongly team-oriented with a customer focused design thinking mentality
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
human geneticsproteomicspopulation data scienceclinical informaticswhole genome sequencingWGSWESgenotyping datapolygenic risk score analysisrare variants analysis