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Spring Co-op/Data Science


Department Description:

The Cellular Biomarkers group in Biomarker Platforms is responsible for developing, validating and performing cellular and tissue biomarker assays that can be used to support GCP analysis of clinical trial samples in alignment with the experimental medicine partners. 

Job Description:

The successful candidate will work on exploratory projects involving flow cytometry and single-cell transcriptomics data analysis applying AI/ML methods in the context of biomarker and drug discovery. The scope of the projects can include building pipelines, developing novel methods and/or direct contributions to the projects via computational analysis, visualization, and interpretation of high-dimensional biological data.

Typical day-to-day responsibilities will include:

  • Literature review of computational methods for automated high-dimensional flow cytometry data analysis
  • Evaluate performance of existing automated data analysis tools and establish best practices
  • Apply computational methods and tools to automate analysis of flow cytometry data and single-cell omics data
  • Apply AI/ML methods and build automation of supervised data analysis
  • Communicate the results to biologists and data scientists within Cellular Biomarkers group

Minimum Qualifications:

  • Pursuing a Bachelor's or Master's degree in Computational Biology, Bioinformatics, Computer Science, Data Science, Machine Learning, or similar disciplines.
  • Experience working with Linux High Performance Computing Cluster (HPC) machine, Bash (PBS and Slurm scripts), R and/or Python and pipeline workflow management.
  • Basic knowledge of bioinformatics methods for the analysis flow cytometry data (e.g., FlowJo, OMIQ, FCS Express etc).
  • Knowledgeable in fundament concepts of statistical analysis, visualization, and interpretation of high-dimensional biological data (e.g., PCA, UMAP, tSNE, supervised/unsupervised clustering, heatmap).
  • Must be able to work full-time (35-40 hours/week) throughout the 6 month co-op (April~September 2024).
  • 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:

  • Experience in Data Science, Flow Cytometry, Machine Learning, System Biology, Network Analysis, Computational Biology, or related fields
  • Experience in building python/R scripts for large scale data analysis
  • Knowledgeable in or experience with common bioinformatics databases, resources, and tools


  • While GSK embraces a flexible work environment, we do require certain positions to be onsite. Candidates who are hired for an on-site role or hybrid 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 determined the month following date of hire.

Interested in learning more? Register now on our digital learning platform (GSK Get Ahead - Connectr) where you can access interview and assessment hints and tips, speak to a mentor and learn more about life at GSK.

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.