Xenon7

Xenon7 provides advanced AI solutions and consultancy services, leveraging a team of highly qualified experts and a strong emphasis on research and innovation to address complex industry challenges and enhance operational efficiency.

Internet Software & Services

Information Technology

Founded 2014

26 open positions

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Post Doctoral Scientist- Human Genomics and Translational Data Science

2 days, 16 hours ago

United States

Full-time

Junior

Research Scientist

Data Science and Analytics

Machine Learning Python R SQL

Apply Now

Xenon7

Internet Software & Services

Founded 2014

View All Jobs 26

Description

Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker and target 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 and enable high-dimensional analyses.
Collaborate with interdisciplinary teams (geneticists, epidemiologists, clinicians, translational scientists, bioinformaticians) to interpret results and guide therapeutic development.
Contribute to the development and validation of novel statistical methods for analyzing high-dimensional biological data.
Prepare scientific reports, presentations, and publications to communicate research findings.
Operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians on study design and interpretation.

Requirements

PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field.
Authorized to work in the United States on a full-time basis.
Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics, 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 R, Python, and SQL for data analysis.
Familiarity with genetic association studies, GWAS, and polygenic risk score (PRS) models.
Knowledge of functional genomics and multi-omics data integration.
Strong publication record demonstrating contributions to statistical genetics and biomarker discovery.
Excellent communication and collaboration skills and prior experience in pharmaceutical or biotech industry settings (preferred).

Benefits

Attractive, market-leading salary package.
Clear career advancement path with professional development opportunities.
Opportunity to advance precision medicine and therapeutic target identification through innovative statistical genetics approaches.

Interested in this position?

Apply directly on the company website

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