BioSpace
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 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 put people first and seek those determined to make life better for people around the world. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. We work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics, with a patient-centered focus to address root causes of disease and develop breakthrough therapies. We have a strong pipeline and a track record of delivering impactful medicines. We are seeking a visionary Human Genomics and Translational Data Sciences Lead within the DOCTA organization to drive human genetics, proteomics, and exploratory clinical research into the future. This role requires a forward-thinking, passionate, and collaborative leader with a deep understanding and significant track record of applying internal and external data sets for disease target identification, indication expansion, subpopulation classification, and disease mechanism understanding. You will explore new ways to address scientific questions using Lilly’s large in-house datasets and deep disease state expertise. Key Responsibilities
Provide scientific leadership and strategic vision in human genetics, proteomics, population data science, and clinical informatics to position Lilly at the forefront of genetics for diabetes, obesity, and complications Lead and mentor a team with diverse computational background Develop and implement strategies to optimally use public large-scale genetic/genomic resources (population-scale biobanks, genome sequencing initiatives) and integrate with patient-derived data from clinical trials to provide novel insights for Lilly’s portfolio Lead efforts to analyze whole genome sequencing and proteomics data from clinical trial participants Align with DOCTA’s strategic priorities and drive data-driven innovative approaches to identify and validate novel therapeutic targets Spearhead cross-functional initiatives to translate genetic/genomic findings into actionable insights that inform drug discovery, biomarker development, and clinical trial design Represent Lilly at scientific conferences and engage with the broader genetics/genomics community to stay at the forefront of innovation Partner with internal teams to evaluate external innovation opportunities and bring insights to aid decision making Interpret and clearly communicate results from genetic analyses, including development of scientific manuscripts, posters, and presentations; communicate the group’s vision and progress to internal and external partners Implement industry-standard procedures for scientific project execution and documentation (e.g., JIRA, Confluence, Git, code review, and other documentation tools) Accountable for the team’s development and documentation of reproducible pipelines for genetics analyses Perform hands-on execution of human genetic analyses as needed Foster a culture of scientific excellence, collaboration, and continuous learning within the human genetics and bioinformatics group and across the organization Key Requirements
PhD or equivalent in Human Genetics, Epidemiology, Clinical Informatics, or related field with at least 5 years in a leadership role; MD + PhD preferred Demonstrated success in building, mentoring, and managing scientific teams (3+ years managing direct reports required) Additional Skills And Preferences
Led or played a significant role in high-impact research programs in pharma, biotech, or academia; knowledge of drug development strongly preferred Prior experience with multiple in human genetics workflows including analysis of WGS, WES, and genotyping data for association analyses, polygenic risks score analysis, and analysis of rare variants, required Prior experience working with clinical and observational biomedical informatics data sets, including data from clinical trials, EHRs, and large biobanks (e.g., UKBB), required Prior experience with clinical/diagnostic genetics, including application of ACMG criteria for annotation of variant pathogenicity, strongly preferred Strong track record of publications in top-tier journals Strong collaborative approach with outstanding communication and interpersonal skills to engage cross-functional teams and external partners Ability to prioritize and manage multiple competing priorities within a fast-paced environment Demonstrated ability to lead and manage successfully within a matrixed organization Strongly team-oriented with a customer focused design thinking mentality Additional Information
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. Lilly is proud to be an EEO Employer and does not discriminate. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $184,500 - $321,200. Full-time employees are eligible for a company bonus and a comprehensive benefits program. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet News
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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 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 put people first and seek those determined to make life better for people around the world. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. We work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics, with a patient-centered focus to address root causes of disease and develop breakthrough therapies. We have a strong pipeline and a track record of delivering impactful medicines. We are seeking a visionary Human Genomics and Translational Data Sciences Lead within the DOCTA organization to drive human genetics, proteomics, and exploratory clinical research into the future. This role requires a forward-thinking, passionate, and collaborative leader with a deep understanding and significant track record of applying internal and external data sets for disease target identification, indication expansion, subpopulation classification, and disease mechanism understanding. You will explore new ways to address scientific questions using Lilly’s large in-house datasets and deep disease state expertise. Key Responsibilities
Provide scientific leadership and strategic vision in human genetics, proteomics, population data science, and clinical informatics to position Lilly at the forefront of genetics for diabetes, obesity, and complications Lead and mentor a team with diverse computational background Develop and implement strategies to optimally use public large-scale genetic/genomic resources (population-scale biobanks, genome sequencing initiatives) and integrate with patient-derived data from clinical trials to provide novel insights for Lilly’s portfolio Lead efforts to analyze whole genome sequencing and proteomics data from clinical trial participants Align with DOCTA’s strategic priorities and drive data-driven innovative approaches to identify and validate novel therapeutic targets Spearhead cross-functional initiatives to translate genetic/genomic findings into actionable insights that inform drug discovery, biomarker development, and clinical trial design Represent Lilly at scientific conferences and engage with the broader genetics/genomics community to stay at the forefront of innovation Partner with internal teams to evaluate external innovation opportunities and bring insights to aid decision making Interpret and clearly communicate results from genetic analyses, including development of scientific manuscripts, posters, and presentations; communicate the group’s vision and progress to internal and external partners Implement industry-standard procedures for scientific project execution and documentation (e.g., JIRA, Confluence, Git, code review, and other documentation tools) Accountable for the team’s development and documentation of reproducible pipelines for genetics analyses Perform hands-on execution of human genetic analyses as needed Foster a culture of scientific excellence, collaboration, and continuous learning within the human genetics and bioinformatics group and across the organization Key Requirements
PhD or equivalent in Human Genetics, Epidemiology, Clinical Informatics, or related field with at least 5 years in a leadership role; MD + PhD preferred Demonstrated success in building, mentoring, and managing scientific teams (3+ years managing direct reports required) Additional Skills And Preferences
Led or played a significant role in high-impact research programs in pharma, biotech, or academia; knowledge of drug development strongly preferred Prior experience with multiple in human genetics workflows including analysis of WGS, WES, and genotyping data for association analyses, polygenic risks score analysis, and analysis of rare variants, required Prior experience working with clinical and observational biomedical informatics data sets, including data from clinical trials, EHRs, and large biobanks (e.g., UKBB), required Prior experience with clinical/diagnostic genetics, including application of ACMG criteria for annotation of variant pathogenicity, strongly preferred Strong track record of publications in top-tier journals Strong collaborative approach with outstanding communication and interpersonal skills to engage cross-functional teams and external partners Ability to prioritize and manage multiple competing priorities within a fast-paced environment Demonstrated ability to lead and manage successfully within a matrixed organization Strongly team-oriented with a customer focused design thinking mentality Additional Information
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. Lilly is proud to be an EEO Employer and does not discriminate. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $184,500 - $321,200. Full-time employees are eligible for a company bonus and a comprehensive benefits program. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet News
#J-18808-Ljbffr