Internship in Computational Biology: CVRM Genetics
Tasks
- Analyze large-scale genomic data
- Apply statistical modeling to genetic studies
- Build automated polygenic risk score workflows
- Develop high throughput genomic analysis pipelines
- Develop precision medicine target discovery insights
- Identify resilient outliers
- Mine proteomics and electronic health record datasets
- Perform patient clustering
Perks/Benefits
- N/A
Skills/Tech-stack
Bcftools | Data Analysis | Docker | Electronic Health Records | GWAS | Genetic Data | Genetic Data Analysis | Git | HPC | Health Records | Hypothesis Testing | Linear Regression | Patient Stratification | Plink | Polygenic risk | Polygenic risk scores | Proteinomics | Python | R | REGENIE | Regression | Risk scores | Snakemake | UK Biobank
Education
N/A
Roles
Biologist | Computational Biologist | Data Scientist | Scientist
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