Eli Lilly and Company
Postdoctoral Researcher - Genomics, Proteomics, and Clinical Outcomes
Eli Lilly and Company, Boston, Massachusetts, us, 02298
Overview
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 work to discover and bring medicines to those who need them, improve understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We are looking for people who are determined 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 support data, tools and infrastructure that enable research and development objectives to inform and accelerate discovery and development of next-generation therapeutics. We are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary datasets 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 Preferred Qualifications
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 for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. 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. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women\'s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate\'s education, experience, skills, and geographic location. The anticipated wage for this position is $58,000 - $100,320 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).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly
#J-18808-Ljbffr
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 work to discover and bring medicines to those who need them, improve understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We are looking for people who are determined 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 support data, tools and infrastructure that enable research and development objectives to inform and accelerate discovery and development of next-generation therapeutics. We are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from publicly available biobank and proprietary datasets 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 Preferred Qualifications
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 for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. 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. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women\'s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate\'s education, experience, skills, and geographic location. The anticipated wage for this position is $58,000 - $100,320 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).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly
#J-18808-Ljbffr