BioSpace, Inc.
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Genomics and Data Scientist
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BioSpace . 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 understanding and management of disease, and give back to our communities through philanthropy and volunteerism. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) focuses on biologic, small molecule, and genetic therapeutics for diabetes, obesity, and related complications. The successful candidate will support data, tools, and infrastructure for clinical research, integrating and analyzing genomic, proteomic, metabolomic, and phenotypic data from clinical trials on cloud-based platforms. You will operate as part of the DOCTA Data Science and Computational Biology (DSCB) team, partnering with scientists and clinicians to: Design and implement workflows for genomic data analysis, focusing on WES and WGS datasets. Collaborate with clinicians, statisticians, and biologists to develop hypotheses and analysis plans. Analyze multi-omics data, contributing to data interpretation and biological insights. Apply statistical methods like finemapping, colocalization, and causal inference for drug discovery. Streamline genomics workflows, build databases, and create visualizations. Participate in scientific discussions and communicate findings effectively. Maintain expertise through literature review, conferences, and networking. Minimum Qualifications Ph.D. in Statistical Genetics, Biostatistics, Computer Science, or related field. M.S. with 5+ years of experience in genetics and genomics. Additional Skills / Preferences Proven accomplishments in genetics data analysis. Strong programming skills for statistical genetics. Experience with AI/ML and public databases like UK Biobank. Excellent communication skills for interdisciplinary teams. Knowledge of genetic and genomic data analysis, multi-omics data, and causal inference methods. Lilly is committed to diversity and inclusion and provides accommodations for applicants with disabilities. The position offers a competitive salary range of $156,750 - $250,800, along with benefits including a 401(k), health insurance, paid time off, and more. Actual compensation depends on experience, education, and location. Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Healthcare, Biotechnology Referrals increase your chances of interviewing at BioSpace by 2x. #J-18808-Ljbffr
Genomics and Data Scientist
role at
BioSpace . 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 understanding and management of disease, and give back to our communities through philanthropy and volunteerism. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) focuses on biologic, small molecule, and genetic therapeutics for diabetes, obesity, and related complications. The successful candidate will support data, tools, and infrastructure for clinical research, integrating and analyzing genomic, proteomic, metabolomic, and phenotypic data from clinical trials on cloud-based platforms. You will operate as part of the DOCTA Data Science and Computational Biology (DSCB) team, partnering with scientists and clinicians to: Design and implement workflows for genomic data analysis, focusing on WES and WGS datasets. Collaborate with clinicians, statisticians, and biologists to develop hypotheses and analysis plans. Analyze multi-omics data, contributing to data interpretation and biological insights. Apply statistical methods like finemapping, colocalization, and causal inference for drug discovery. Streamline genomics workflows, build databases, and create visualizations. Participate in scientific discussions and communicate findings effectively. Maintain expertise through literature review, conferences, and networking. Minimum Qualifications Ph.D. in Statistical Genetics, Biostatistics, Computer Science, or related field. M.S. with 5+ years of experience in genetics and genomics. Additional Skills / Preferences Proven accomplishments in genetics data analysis. Strong programming skills for statistical genetics. Experience with AI/ML and public databases like UK Biobank. Excellent communication skills for interdisciplinary teams. Knowledge of genetic and genomic data analysis, multi-omics data, and causal inference methods. Lilly is committed to diversity and inclusion and provides accommodations for applicants with disabilities. The position offers a competitive salary range of $156,750 - $250,800, along with benefits including a 401(k), health insurance, paid time off, and more. Actual compensation depends on experience, education, and location. Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Healthcare, Biotechnology Referrals increase your chances of interviewing at BioSpace by 2x. #J-18808-Ljbffr