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Post Doctoral Scientist- Human Genomics and Translational Data Science

2 months ago
United States
Full-time
Junior
Research Scientist
Data Science and Analytics
Machine Learning Python R SQL
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Xenon7

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
Founded 2014
View All Jobs 27

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

Apply Now

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