Job Description

About us:

Shape the Future with AI, Ignite Your Potential

Xenon7 is an inferno where skill, dedication and passion run together.

About our client:

Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications. 

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 CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.

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.

Requirements

Qualifications & Requirements

• PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field
• Qualified applicants must be authorized to work in the United States on a full-time basis.

Additional Skills/Preferences

• 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.

This is an exciting opportunity to  advance precision medicine and therapeutic target identification through innovative statistical genetics approaches. If you are passionate about employing big data for scientific discovery, we encourage you to apply!

Benefits

• Attractive, market-leading salary package.
• Clear career advancement path with professional development opportunities.

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