2026 Future Talent Program - Genome Sciences, Computational Biology - Co-op

MSD • Cambridge, MA

7d • Onsite

About The Position

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months 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. The Future Talent Program within our Company's Data, AI, and Genome Sciences (DAGS) Department is offering Co-op opportunities that last a period of 6 months. We have 1 position at the Cambridge, MA location. These projects are designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. We are seeking highly motivated and talented students with computational skills and experience. The projects will be in one of the following areas: Genome Sciences (1 position, On Site in Cambridge MA): • Evaluation of leading edge cellular and genomics technologies including single cell CRISPR-sequencing and spatial transcriptomics. • Application of cellular and genomic technologies towards the functional validation of targets and pathways. • Analysis of sequencing datasets (e.g. Spatial Transcriptomics) with state-of-the-art methods to better understand disease biology and support target candidate evaluation.

Requirements

• Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Biological Sciences or a related field of study. Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply.
• Candidates must be available to work full-time for 6 months in 2026.
• Candidates must have excellent academic achievement and analytical ability.
• Candidates must have demonstrated superior communication and interpersonal skills and must be able to work well in a collaborative team environment.

Nice To Haves

• Candidates should have interest/experience in ANY of the fields of molecular biology, immunology, oncology, cell biology, neuroscience, or bioinformatics.
• For these computational projects, specific skill sets should include one or more of the following: experience with R or Python programming languages, analysis of bulk or single cell datasets.

Responsibilities

• Evaluation of leading edge cellular and genomics technologies including single cell CRISPR-sequencing and spatial transcriptomics.
• Application of cellular and genomic technologies towards the functional validation of targets and pathways.
• Analysis of sequencing datasets (e.g. Spatial Transcriptomics) with state-of-the-art methods to better understand disease biology and support target candidate evaluation.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees