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. 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.

Requirements

  • 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, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1

Nice To Haves

  • 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 (Bioconductor, scikit-learn, PyTorch, etc.)
  • Demonstrated experience with NGS data analysis, including epigenomic datasets (ChIP-seq, ATAC-seq, bisulfite sequencing, methylation arrays)
  • 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 (GTEx, PsychENCODE, CommonMind Consortium, UK Biobank, gnomAD, ENCODE, Roadmap Epigenomics, etc.)
  • 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

Responsibilities

  • Epigenetic Analyses & Multi-Omics Integration
  • Network and Pathway Analyses
  • Collaborative Research and Translational Impact

Benefits

  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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