Advisor - Statistical Genetics

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation therapeutics. Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from clinical trials on cloud based clinical multi-omics platforms.
 

You will operate as part of the DOCTA Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists to:

• Lead the design and implementation of statistical genetics workflows supporting the analysis and interpretation of genomic studies, with an initial focus on WES and WGS datasets
• Work with clinicians, statisticians and biologists to develop experimental hypotheses and help design and author computational analysis plans for genomic data and other computational data types
• 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
• Contribute to scientific and strategy discussions to advance and improve Lilly Genetics
• 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

Minimum qualitifcations:

• 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

Additional Skills / Preferences:

• Demonstrated accomplishments in genetics and genomics data analysis
• Strong programming abilities to implement and apply statistical genetics principles
• Strong statistics and quantitative background, with experience in AI/ML a plus
• Familiarity with public databases such as UK Biobank, etc.
• 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
• Software development standard processes, including agile, version control, unit and integration testing, documentation, and deployment
• 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

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Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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