Post Doctoral Scientist- Human Genomics and Translational Data Science

Tasks

• Analyze whole genome and whole exome sequencing data for biomarker discovery
• Collaborate with interdisciplinary teams to interpret genetic findings
• Conduct genetic variant association analyses in biobank and population cohort datasets
• Develop machine learning and bioinformatics pipelines for multi omics integration
• Develop statistical methods for high dimensional biological data
• Model genetic and clinical outcomes to identify disease risk progression and treatment response
• Prepare scientific reports presentations and publications

Perks/Benefits

• Career advancement path
• Professional development opportunities

Skills/Tech-stack

Association studies | Bioinformatics pipelines | Data Analysis | Data integration | Exome sequencing | GWAS | Genetic Association | Genetic association studies | Genome Sequencing | High Dimensional Data | High-Dimensional Data Analysis | Machine Learning | Metabolomics | Multi-Omics | Multi-omics Data | Multi-omics data integration | Omics data integration | Polygenic risk | Polygenic risk scores | Proteomics | Python | R | Risk scores | SQL | Statistical modeling | Whole-exome sequencing | Whole-genome sequencing