BioSpace
Computational Biologist – Obesity Research
At Lilly, we unite caring with discovery to make life better for people around the world. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) focuses on new therapeutic approaches for diabetes, obesity and cardiometabolic diseases. The computational biology role is an exciting opportunity for a team‑oriented scientist with deep expertise in obesity biology and computational methods to drive therapeutic discovery in metabolic diseases.
Key Responsibilities
Design and complete studies using omics‑related data sources, including RNA‑seq, spatial transcriptomics, single‑cell omics, proteomics, functional genomics, metabolomics, and more.
Integrate standard analytical approaches and emerging AI/ML models to answer scientific questions of high‑dimensional data.
Partner with discovery statistics team to create novel analytical frameworks for high‑throughput studies and develop specialized methodologies to enhance insights from small‑sample datasets.
Stay up‑to‑date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease‑related conferences.
Clearly communicate complex results to cross‑functional partners in a prompt and transparent manner.
Perform ad‑hoc bioinformatics analyses and data visualizations as needed.
Work collaboratively with other DSCB scientists to develop innovative, best‑in‑class computational workflows and data repositories for advanced analyses.
Engage in code and documentation review within the team and across other teams within DSCB.
Adhere to industry‑standard protocols for scientific project documentation.
Basic Requirements PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field with 2+ years of experience post‑PhD in a relevant disease area.
Additional Skills/Preferences
Strong track record of execution of computational biology/bioinformatics projects including RNA‑seq, metabolomics, multi‑omics, human genetics, proteomics, AI/ML, and related modalities.
Prior experience and deep expertise in obesity and related areas, preferably with data from preclinical models, patient cohorts or cell lines.
Proficiency in R and Python and experience with workflow management systems such as Nextflow.
Experience developing production‑grade bioinformatics pipelines and standardized workflow tools.
Experience with implementation and maintenance of industry‑standard documentation practices including Git, Confluence, JIRA, or equivalent.
Ability to prioritize and manage multiple competing priorities in a fast‑paced environment.
Strong communication skills to explain complex scientific and computational concepts to non‑specialists.
Team‑oriented mindset and ability to represent the DOCTA DSCB team internally and externally.
Experience with scalable cloud computing platforms (e.g., Databricks, AWS) and big data analytics frameworks.
Experience with containerized technologies (e.g., Docker) for computational reproducibility.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form
https://careers.lilly.com/us/en/workplace-accommodation .
Lilly is 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.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $138,000 - $224,400. Full‑time employees will also be eligible for a company bonus, depending on company and individual performance. Lilly offers a comprehensive benefits package including 401(k), pension, medical, dental, vision, flexible benefits, life insurance, and wellness programs.
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Key Responsibilities
Design and complete studies using omics‑related data sources, including RNA‑seq, spatial transcriptomics, single‑cell omics, proteomics, functional genomics, metabolomics, and more.
Integrate standard analytical approaches and emerging AI/ML models to answer scientific questions of high‑dimensional data.
Partner with discovery statistics team to create novel analytical frameworks for high‑throughput studies and develop specialized methodologies to enhance insights from small‑sample datasets.
Stay up‑to‑date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease‑related conferences.
Clearly communicate complex results to cross‑functional partners in a prompt and transparent manner.
Perform ad‑hoc bioinformatics analyses and data visualizations as needed.
Work collaboratively with other DSCB scientists to develop innovative, best‑in‑class computational workflows and data repositories for advanced analyses.
Engage in code and documentation review within the team and across other teams within DSCB.
Adhere to industry‑standard protocols for scientific project documentation.
Basic Requirements PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field with 2+ years of experience post‑PhD in a relevant disease area.
Additional Skills/Preferences
Strong track record of execution of computational biology/bioinformatics projects including RNA‑seq, metabolomics, multi‑omics, human genetics, proteomics, AI/ML, and related modalities.
Prior experience and deep expertise in obesity and related areas, preferably with data from preclinical models, patient cohorts or cell lines.
Proficiency in R and Python and experience with workflow management systems such as Nextflow.
Experience developing production‑grade bioinformatics pipelines and standardized workflow tools.
Experience with implementation and maintenance of industry‑standard documentation practices including Git, Confluence, JIRA, or equivalent.
Ability to prioritize and manage multiple competing priorities in a fast‑paced environment.
Strong communication skills to explain complex scientific and computational concepts to non‑specialists.
Team‑oriented mindset and ability to represent the DOCTA DSCB team internally and externally.
Experience with scalable cloud computing platforms (e.g., Databricks, AWS) and big data analytics frameworks.
Experience with containerized technologies (e.g., Docker) for computational reproducibility.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form
https://careers.lilly.com/us/en/workplace-accommodation .
Lilly is 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.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $138,000 - $224,400. Full‑time employees will also be eligible for a company bonus, depending on company and individual performance. Lilly offers a comprehensive benefits package including 401(k), pension, medical, dental, vision, flexible benefits, life insurance, and wellness programs.
#J-18808-Ljbffr