The company is looking to accelerate the discovery and development of next generation therapeutics for diabetes, obesity and associated complications by integrating and analyzing genomic, proteomic, metabolomic and phenotypic data from clinical trials.
Requirements
- Strong programming abilities to implement and apply statistical genetics principles
- Familiarity with public databases such as UK Biobank
- Deep knowledge of statistical and quantitative methods to analyze genetic and genomic data
- Experience with analyzing sequencing data from cohorts with multiple ancestries and complex phenotypes
- Experience applying genetics to therapeutic target discovery or validation workflows
- Experience processing, assessing quality and analyzing multi-omics data, including proteomics data
- Experience developing, implementing, or applying causal inference methods and AI/ML methods
Responsibilities
- Lead the design and implementation of statistical genetics workflows supporting the analysis and interpretation of genomic studies
- Analyze WES, WGS and paired omics data and contribute to data interpretation and biological conclusions
- Implement and apply summary-statistics-based statistical methods including finemapping, colocalization, and causal inference to guide drug target discovery and mechanism of action studies
- Help streamlining and automating genetics and genomics workflows and building databases and visualizations using internal and external datasets
- Communicate experimental data to scientific and management teams
- Maintain scientific and technical expertise through familiarity with scientific literature, attending conferences and developing relationships with key opinion leaders
- Contribute to scientific and strategy discussions to advance and improve Lilly Genetics
Other
- Ph.D. in Statistical Genetics, Biostatistics, Computer Science or a related quantitative field
- M.S. in Statistical Genetics, Biostatistics, Computer Science or a related quantitative field with 5+ years of post-degree experience with a focus on genetics and genomics
- Excellent communication and presentations skills, capable of conveying domain specific technical information in a clear and thorough manner to interdisciplinary audiences across the organization
- Strategic, self-motivated, and enjoys teamwork within an interdisciplinary and dynamic team environment
