Post Doctoral Scientist- Human Genomics and Translational Data Science

1 month, 1 week ago
Full-time
Senior
Data Science and Analytics
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

Description

  • Apply statistical and computational methods to analyze whole genome and whole exome sequencing, proteomics, metabolomics, and clinical data for biomarker discovery.
  • Conduct analyses of large biobank and population cohort 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 geneticists, epidemiologists, clinicians, translational scientists, bioinformaticians, and other cross-functional partners to interpret findings and guide therapeutic development.
  • Prepare scientific reports, presentations, and publications to communicate research findings.
  • Contribute to the development of novel statistical methods for high-dimensional biological data analysis.

Requirements

  • PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Authorization 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 such as UK Biobank, All of Us, or FinnGen.
  • Proficiency in R, Python, and SQL for data analysis.
  • Familiarity with genetic association studies, GWAS, and polygenic risk scores.
  • Excellent communication and collaboration skills for cross-functional teamwork.
  • Experience in pharmaceutical or biotech industry settings (preferred).
  • Knowledge of functional genomics and multi-omics data integration (preferred).
  • Strong publication record in statistical genetics and biomarker discovery.
  • Prior experience in cardiometabolic research (preferred).
  • Prior experience with polygenic risk score models (preferred).

Benefits

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

Interested in this position?

Apply directly on the company website

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