Postdoctoral Scientist (R0) – Epigenetics and Multi-Omics in Psychiatry Full-time

Lilly Neuroscience Postdoctoral Scientist

Lilly Neuroscience is seeking a highly motivated postdoctoral scientist to join the Pain and Neuronal Health discovery biology group to advance our mission of discovering novel therapeutics for psychiatric and brain-related disorders. We are looking for a computational scientist with expertise in epigenetics, multi-omic data integration, and systems biology approaches to elucidate the molecular mechanisms underlying psychiatric conditions. You should be passionate about applying cutting-edge computational methods to understand the epigenetic and molecular architecture of brain disorders, with particular focus on integrative multi-omics analyses, network and pathway modeling, and translational bioinformatics. The ideal candidate will possess exceptional scientific rigor, a deep interest in psychiatric disease biology, and strong collaborative skills to work across multidisciplinary teams. Are you ready to make a meaningful impact in psychiatric research and contribute to the discovery of life-changing medicines for patients? This could be the opportunity for you.

Your key responsibilities will include:

• Epigenetic analyses & multi-omics integration
• Network and pathway analyses
• Collaborative research and translational impact

Basic qualifications:

• PhD in bioinformatics, computational biology, genomics, neuroscience, biostatistics, or a related quantitative discipline
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role.

Additional skills/preferences:

• Strong publication record demonstrating expertise in epigenetics, multi-omics analysis, or systems biology
• Proficiency in programming languages such as R and Python with experience in relevant bioinformatics libraries
• Demonstrated experience with NGS data analysis, including epigenomic datasets
• Experience with multi-omic data integration approaches and network/pathway analysis methods
• Strong understanding of statistical methods, experimental design, and hypothesis testing
• Familiarity with high-performance computing environments, workflow management systems, and version control
• Expertise in psychiatric genetics, neuroscience, or brain-related disorders
• Experience analyzing human brain tissue datasets, psychiatric cohorts, or relevant disease models
• Knowledge of psychiatric GWAS, eQTL, and functional genomics studies
• Experience with machine learning and deep learning methods applied to biological data
• Familiarity with single-cell and spatial multi-omics technologies and analysis methods
• Experience with biological databases and resources
• Track record of collaborative, interdisciplinary research
• Excellent written and oral communication skills with ability to present complex computational findings to diverse audiences
• Prior experience in pharmaceutical or biotech industry is a plus
• Strong organizational skills and ability to manage multiple projects simultaneously

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Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $58,000 – $123,200.