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Summer Intern/Genomics Research


Department Description:

The Human Genetics and Genomics (HGG) organization is one of the key components of GSK’s research strategy. HGG supports drug discovery and development across the GSK R&D organization through integrative analysis of all forms of genetics and genomics data, as well as the development of new computational and statistical methods to understand the disease mechanisms. We contribute to multiple phases of the drug discovery pipeline and our work drives the development of new medicines for diseases with unmet medical need. 

Job Description:

We are seeking a summer intern student to work with GSK’s HGG translational omics team. The selected candidate for this position will ingest and integrate different data types, including literature, multi-‘omics’ and clinical data, and apply analytical models to derive novel insights for therapeutic hypothesis generation. They will also explore the use of computational approaches to address patient stratification challenges in complex autoimmune diseases, such as identifying biomarkers of disease progression and/or response to treatment. The student will gain in-depth understanding of pharmaceutical R&D process by working in a multidisciplinary team environment.

The selected candidate’s responsibilities will include, but not limited to:

  • Collecting and processing data required for the project.
  • Developing and applying computational methods (such as machine learning, statistical and visualization methods) for integrative and predictive analysis of clinical “omics” data.
  • Documenting analytical workflows and codes at sufficient depth, producing formal reports, and contributing to publication drafting.
  • Attending team meetings and present results to the GSK scientific community.

Minimum Qualifications:

  • Pursuing a Master’s or PhD degree in Computational Biology, Bioinformatics, Statistics, Computer Science, Data Science, Machine Learning, or a related quantitative field.
  • Experience with at least one programming language (preferably R or Python) for data analysis.
  • Understanding of basic principles in biology, medicine and statistics.
  • Excellent written and verbal communication skills.
  • Must be able to work full-time (35-40 hours/week) throughout the 12 week assignment.
  • Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible. 

Preferred Qualifications:

  • Keen interest in using data to drive therapeutic advancements and a passion for improving patient outcomes
  • Background in immunology and autoimmune diseases
  • Prior experience in analyzing omics data (e.g. transcriptomics)


  • While GSK embraces a flexible work environment, we do require certain positions to be onsite. Candidates who are hired for an on-site role and reside outside of 50-miles from their assigned work location are eligible for relocation stipend. This is a one-time payment to help offset housing & relocation expenses. Please refer to the position details for the requirements of each position.
  • GSK Interns and Co-ops are offered a competitive hourly pay rate and benefits. Please note, benefits eligibility to be determined upon hire.

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Eligibility Requirements:

  • Must successfully pass a drug screen and background check prior to assignment target start date.  
  • If your skillsets are a match for this role, you will be contacted by our recruitment team with next steps to complete our internal World of GSK Assessment.
    • Please note, you must receive a passing score to move forward in the interview process. Once your assessment is complete, a recruiter will review your results and be in touch with next steps.