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

20 hours, 42 minutes ago

United States

Full-time

Senior

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 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

Apply Now

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