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Computational Biology Lead
1 month ago
Eli Lilly is seeking a highly skilled Computational Biology Lead to join our Diabetes, Obesity and Complications Therapeutic Area (DOCTA) team. As a key member of our research team, you will be responsible for providing computational biology expertise to support the discovery and development of novel biologic, small molecule, and nucleic acid-based therapies.
Key Responsibilities- Provide leadership in the design and execution of studies using omics-related data sources, including RNA-seq, spatial transcriptomics, single-cell omics, proteomics, and metabolomics.
- Integrate standard and emerging AI/ML models as appropriate to support scientific programs.
- Manage a team of computational scientists and provide scientific leadership in computational biology and bioinformatics.
- Partner with human genetics scientists to design and implement integrated genotype-phenotype analyses.
- Closely partner with the computational platforms and data architecture leads to develop innovative scientific studies and ensure scalable cross-group data and pipeline interoperability.
- PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field.
- 5+ years of industry experience post-PhD.
- Strong track record of execution of computational biology and/or bioinformatics-based projects.
- Proficiency in programming languages such as R and/or Python.
- Ability to prioritize and manage multiple competing priorities within a fast-paced environment.
Eli Lilly is a global healthcare leader headquartered in Indianapolis, Indiana. We are dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. We are an EEO/Affirmative Action Employer and do 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.