Internship In Computational Biology: Cvrm Genetics

Roche UK

Master's degree in systems biology or life sciences
Strong coding experience in r and git
Hands-on experience with genetic data analysis tools
This internship offers the opportunity to gain valuable work experience by building automated Polygenic Risk Score workflows for chronic kidney disease and metabolic dysfunction

Job Summary

  • This internship offers the opportunity to gain valuable work experience by building automated Polygenic Risk Score workflows for chronic kidney disease and metabolic dysfunction.
  • You will work within a highly collaborative, multidisciplinary team to mine large-scale genomic and proteomics datasets for target discovery.
  • The role provides exposure to precision medicine methodologies and how data science directly influences the selection of new therapeutic targets in pharmaceutical R&D.

Matching Summary

This internship offers the opportunity to gain valuable work experience by building automated Polygenic Risk Score workflows for chronic kidney disease and metabolic dysfunction.

Skills & Requirements

Must-have

  • Master's degree in Systems Biology or Life Sciences
  • Strong coding experience in R and Git
  • Hands-on experience with genetic data analysis tools

Nice-to-have

  • Experience developing R packages
  • Familiarity with UK Biobank datasets
  • Creative problem-solving skills
  • Interest in applying AI tools to biology

Key Requirements

  • Current Master's student or recent graduate (less than 1 year)
  • Proficiency in Plink, BCFtools, or REGENIE
  • Knowledge of GWAS or Polygenic Risk Scores
  • English communication skills required

Work Rights

Non-EU/EFTA citizens require university confirmation of mandatory internship

Tailored Resume

Cover Letter