Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- 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)
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