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.

The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) at Eli Lilly and Company focuses on new treatments for diabetes, obesity, and cardiometabolic diseases. From an idea, we collaborate with partners across Lilly to discover and develop novel biologic, small molecule, and nucleic acid-based therapies. Our focus is on the patient: by understanding the biology and pathophysiology of diseases, we aim to address the root cause and develop breakthrough therapies. We have one of the strongest pipelines in the industry and a track record of delivering impactful medicines that improve lives.

Are you a computational scientist at heart, excited by new technological advances and scientific discoveries? Do you get lost in the literature and stay after conference talks to learn more? Are you eager to apply both standard best-in-class and innovative tools for biological discovery? The Computational Biology role within the Diabetes, Obesity, and Complications Therapeutic Area is an exciting opportunity for a team-oriented scientist. This position is ideal for someone with deep biological and technical knowledge who wants to apply groundbreaking technologies to one of the most dynamic fields of research today. In this hands-on role, you will work cross-functionally with researchers across DOCTA to design and implement studies of multi-omics data sets to understand disease biology, identify therapeutic mechanisms of action, and discover new targets and indications in the obesity, diabetes, and MASH disease areas. You will be responsible for analyzing and interpreting data from internal and external sources, and then clearly communicating complex results to non-computational scientists. The successful candidate will have the opportunity to directly impact the DOCTA pipeline, ultimately driving the scientific field forward and bringing innovative therapies to patients. Apply today to join the Lilly Team!

Key Responsibilities:Design and complete studies using omics-related data sources, including RNA-seq, spatial transcriptomics, single-cell omics, proteomics, and metabolomicsIntegrate standard analytical approaches as well as emerging AI/ML models to answer scientific questions of high-dimensional dataStay up-to-date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease-related conferencesClearly communicate complex results to cross-functional partners in a prompt and transparent mannerPerform ad-hoc bioinformatics analyses and data visualizations as neededWork collaboratively with other Data Sciences and Computational Biology (DSCB) scientists to develop innovative, best in class computational workflows for advanced analysesEngage in code and documentation review within the team and across other teams within the DSCB teamAdhere to industry-standard processes for scientific project documentationKey Requirements:PhD in Computational Biology, Bioinformatics, Biomedical Informatics, or related field2+ years of industry experience post-PhDAdditional Preferences:Strong track record of execution of computational biology and/or bioinformatics-based projects, potentially including RNA-seq, metabolomics, multi-omics, human genetics, proteomics, AI/ML, and other related research modalitiesPrior experience and deep expertise in obesity, diabetes, and/or MASH requiredKnowledge of human genetics required; direct experience working with human genetics data preferredPrior experience working with bioinformatics tools (e.g., IPA, GO, GSEA, KEGG, Bioconductor) and publicly available data resources (e.g., Gtex, UKBB) requiredPrior experience developing production-grade bioinformatics pipelines, including working with standardized workflow tools, preferredPrior experience with implementation and maintenance of industry-standard documentation practices including Git, Confluence, JIRA, or equivalentExpertise in one or more programming languages such as R, Python, etc. requiredAbility to prioritize and manage multiple competing priorities within a fast-paced environment requiredAbility to communicate complex scientific and computational concepts to non-computational and non-scientist audiences requiredAbility to represent the DOCTA DSCB team internally and externallyStrongly team-oriented with a customer focused design thinking approach

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