At Lilly, the business problem is to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to communities through philanthropy and volunteerism, by leveraging computational biology and data science to drive pharmaceutical innovation
Requirements
- 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
- Experience analyzing and integrating human genetics and functional genomics data
- Experience with NGS-based screening data (e.g. MPRA, STARR-seq, CRISPR regulatory element screening, deep mutational scanning, etc.)
- Experience with functional annotation data (e.g. ChIP-seq, ATAC-seq, Hi-C, etc.)
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
Other
- 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)
- Ability to clearly communicate scientific material, efficiently manage time, and work collaboratively
- Must be eligible to work in the US
- Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions
- Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status
