Post Doctoral Scientist- Human Genomics and Translational Data Science
New
X
Xenon7Biotech
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMachine LearningR
Requirements
- PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field.
- Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis.
- 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.
- Familiarity with genetic association studies, GWAS, and polygenic risk scores.
- Experience in pharmaceutical or biotech industry settings.
- Knowledge of functional genomics and multi-omics data integration.
- Strong publication record.
- Prior experience in cardiometabolic research.
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.
- Develop and implement machine learning and bioinformatics pipelines to integrate multi-omics data.
- Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians.
- Prepare scientific reports, presentations, and publications detailing research outcomes.
- Contribute to the development of novel statistical methods for analyzing high-dimensional biological data.
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