About the position
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. We are seeking an exceptionally qualified computational biologist/data scientist to join the emerging Lilly Genomic Sciences team at Eli Lilly. The successful candidate will have the opportunity to help shape the computational vision of LGS from the ground up, and to contribute to a diverse array of research projects spanning multiple therapeutic areas and data modalities. In this role, the selected candidate will spearhead close collaborations with experimental counterparts who are using state of the art functional genomics approaches; helping to design research, interpret results, and troubleshoot.
Responsibilities
- Intellectually contribute to the development of a vibrant team of genome scientists who are fiercely dedicated to the application of state-of-the-art genomics approaches to pharmaceutical innovation
- Establish and implement data analysis strategies for the integration and interpretation of large-scale functional genomics studies
- Build robust reproducible analysis pipelines for routine use by the team and for deployment on shared cloud computing resources
- Collaborate with statisticians and other data scientists to drive scientific innovation and team success
- Provide computational insights to drive successful troubleshooting of experimental genomics efforts
- Present scientific findings and progress to internal and external stakeholders, contributing to publications, patents, and conference presentations
- Mentor, train, and professionally develop other scientists and staff within the team
- While not the primary focus, this role may involve the creation of some experimental genomics data
Requirements
- Ph.D. in bioinformatics, statistics, data science, or related scientific field, with 3+ years relevant industry or academic research experience (can include post doctoral experience)
Nice-to-haves
- Deep knowledge of statistics, genomics, and genomics data integration
- A significant history and proven track record of high performance on highly collaborative interdisciplinary functional genomics teams
- Ability to clearly communicate scientific material, efficiently manage time, and work collaboratively
- Cross-training in experimental biology strongly preferred
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)
