BioSpace
Postdoctoral Researcher – Genomics, Proteomics, and Clinical Outcomes
BioSpace, Boston, Massachusetts, us, 02298
Postdoctoral Researcher – Genomics, Proteomics, and Clinical Outcomes
Join to apply for the
Postdoctoral Researcher – Genomics, Proteomics, and Clinical Outcomes
role at
BioSpace
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 the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling research and development objectives that will inform and accelerate the discovery and development of next‑generation therapeutics. Specifically, we are seeking a key multi‑dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary data sets on cloud‑based clinical multi‑omics platforms.
We are seeking a
Statistical Geneticist
with expertise in
whole genome sequencing (WGS), proteomics, and clinical outcomes analysis
to advance our research in identifying novel therapeutic targets. This role will involve analyzing large‑scale
biobank and population‑cohort datasets
to uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the DOCTA Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.
This is an exciting opportunity to
advance precision medicine and therapeutic target identification
through innovative statistical genetics approaches. If you are passionate about using big data for scientific discovery and therapeutic application, we encourage you to apply!
Key Responsibilities
Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery.
Conduct rigorous analyses of large‑scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes.
Develop and implement machine learning and bioinformatics pipelines to integrate multi‑omics data.
Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development.
Prepare scientific reports, presentations, and publications detailing research outcomes.
Contribute to the development of novel statistical methods for analyzing high‑dimensional biological data.
Qualifications & Requirements
PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field.
Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research.
Strong proficiency in statistical modeling, machine learning, and high‑dimensional data analysis.
Experience working with large biobank and cohort datasets (e.g., UK Biobank, All of Us, FinnGen).
Proficiency in programming languages such as R, Python, and SQL for data analysis.
Familiarity with genetic association studies, GWAS, and polygenic risk scores.
Excellent communication and collaboration skills to work effectively in cross‑functional teams.
Experience in pharmaceutical or biotech industry settings.
Knowledge of functional genomics and multi‑omics data integration.
Strong publication record demonstrating contributions to statistical genetics and biomarker discovery and analysis.
Prior experience in cardiometabolic research.
Prior experience with polygenic risk score models.
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) for further assistance.
Lilly is proud to be 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.
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Postdoctoral Researcher – Genomics, Proteomics, and Clinical Outcomes
role at
BioSpace
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 the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling research and development objectives that will inform and accelerate the discovery and development of next‑generation therapeutics. Specifically, we are seeking a key multi‑dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary data sets on cloud‑based clinical multi‑omics platforms.
We are seeking a
Statistical Geneticist
with expertise in
whole genome sequencing (WGS), proteomics, and clinical outcomes analysis
to advance our research in identifying novel therapeutic targets. This role will involve analyzing large‑scale
biobank and population‑cohort datasets
to uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the DOCTA Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.
This is an exciting opportunity to
advance precision medicine and therapeutic target identification
through innovative statistical genetics approaches. If you are passionate about using big data for scientific discovery and therapeutic application, we encourage you to apply!
Key Responsibilities
Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery.
Conduct rigorous analyses of large‑scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes.
Develop and implement machine learning and bioinformatics pipelines to integrate multi‑omics data.
Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development.
Prepare scientific reports, presentations, and publications detailing research outcomes.
Contribute to the development of novel statistical methods for analyzing high‑dimensional biological data.
Qualifications & Requirements
PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field.
Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research.
Strong proficiency in statistical modeling, machine learning, and high‑dimensional data analysis.
Experience working with large biobank and cohort datasets (e.g., UK Biobank, All of Us, FinnGen).
Proficiency in programming languages such as R, Python, and SQL for data analysis.
Familiarity with genetic association studies, GWAS, and polygenic risk scores.
Excellent communication and collaboration skills to work effectively in cross‑functional teams.
Experience in pharmaceutical or biotech industry settings.
Knowledge of functional genomics and multi‑omics data integration.
Strong publication record demonstrating contributions to statistical genetics and biomarker discovery and analysis.
Prior experience in cardiometabolic research.
Prior experience with polygenic risk score models.
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) for further assistance.
Lilly is proud to be 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.
#J-18808-Ljbffr