About The Position

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Global Support Functions Division can provide you with great development and a chance to see if we are the right company for your long-term goals. We are seeking a highly motivated intern to join the Bioinformatics Team in Data Science & Scientific Informatics at our company. The intern will evaluate, develop, and optimize computational methods to analyze next-generation sequencing datasets in support of our company’s drug discovery and development programs, and will produce bioinformatics pipelines that can be operated on high-performance computing clusters and in the cloud. The intern will collaborate with biologists and data analysts in one or more diverse therapeutic areas in our Research Laboratories, such as: Oncology Immunology Infectious Diseases & Vaccines Neuroscience Pharmacokinetics Applicants should indicate in their cover letters which of these therapeutic areas are preferable. This will be an opportunity to apply cutting edge data science techniques to emerging fields with exciting and impactful applications in drug discovery and development. The applicant should be able to work full-time for 10-12 weeks in the summer of 2026.

Requirements

  • Applicants should pursuing a master’s degree or doctorate in computational biology, bioinformatics, or a related field. Exceptional undergraduate candidates who can demonstrate strong technical capabilities are also encouraged to apply.
  • Experience analyzing next-generation sequencing datasets, such as WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, and single-cell applications
  • Experience with a pipeline scripting language such as Nextflow
  • Experience evaluating methods for common bioinformatics applications, such as alignment, assembly, variant detection, genome enrichment, and phylogenetics
  • Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc.)
  • Proficiency in programming languages (e.g., Python, R, C++) in a Unix/Linux environment
  • Experience with high-performance Linux clusters and cloud computing
  • Experience leveraging online resources (software manuals, GitHub, Stack Overflow) to troubleshoot
  • Excellent interpersonal and team skills
  • Excellent verbal and written communication skills in English

Nice To Haves

  • Excellent verbal and written communication skills in English
  • Experience in applying and optimizing machine learning tools

Responsibilities

  • Evaluate, develop, and optimize computational methods to analyze next-generation sequencing datasets
  • Produce bioinformatics pipelines that can be operated on high-performance computing clusters and in the cloud
  • Collaborate with biologists and data analysts in one or more diverse therapeutic areas in our Research Laboratories
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