2027 Future Talent Program - Translational Medicine - Intern

MSD
South San Francisco, California, United StatesPosted Sep 8, 2026

About the role

Job Description

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals

Team

The Clinical Pharmacogenetics group provides scientific leadership in the application of human genetics and pharmacogenomics across the drug development continuum. The team generates and interprets genetic evidence to support biomarker strategies, optimize therapeutic development, and enhance understanding of variability in treatment response. Position Description We are seeking a highly motivated graduate student with expertise in bioinformatics, genomics, and computational biology to join our Translational Medicine team for a 12-week internship. The successful candidate will contribute to the analysis and interpretation of genomic and pharmacogenomic datasets to support precision medicine and translational research initiatives. This role offers an opportunity to work with diverse genomic technologies and collaborate with multidisciplinary teams focused on advancing the application of genomics in drug development. Primary Responsibilities Analyze and interpret genomic and pharmacogenomic datasets using bioinformatics and computational approaches Evaluate data generated from multiple genomic technologies, including array-based, short-read, and long-read sequencing platforms Develop and apply analytical workflows to support genomic characterization and translational research objectives Collaborate with scientists across disciplines to generate biological insights and support precision medicine initiatives Communicate results through scientific presentations, reports, and reproducible documentation

Qualifications

Currently pursuing a Master's or PhD in Bioinformatics, Computational Biology, Human Genetics, Genomics, Pharmacogenomics, Biostatistics, Computer Science, o

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