Hybrid Future Talent Program – Translational Genome Analytics, Computational Biology, Co-op

at MSD

• Job title: Future Talent Program – Translational Genome Analytics, Computational Biology, Co-op
• Job type: Internship
• Experience level: Entry level
• Salary: $39,600 - $105,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, South San Francisco, United States

About the role

• Join Merck's Future Talent Program as a Co-op in Computational Biology. Conduct innovative research in Genome Analytics with a focus on drug effects and disease-associated molecular alterations.

Responsibilities

• Develop interpretable AI/ML models and generate insights to delineate the mechanistic underpinnings of drug effects, as well as the distribution effects across a heterogeneous population of tumor models.
• Analyze large-scale anti-tumor drug and/or genetic perturbations and sensitivity screens with state-of-the-art machine learning methods.
• Mine large-scale internal and external datasets to enable discovery of therapeutic targets and precision biomarkers in oncology.
• Analyze large-scale Alzheimer’s disease multi-omic datasets with state-of-the-art methods.
• Fine-tune pre-trained transformer models using disease-specific multi-omic datasets.
• Evaluate the accuracy and utility of cutting-edge pre-trained AI/ML transformer models in imputing disease-related transcriptomic patterns.

Requirements

• Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Biomedical Engineering, Computer Science, Biological Sciences or a related field of study.
• Candidates must be available to work full-time for 6 months in 2026.
• Candidates must have excellent academic achievement and strong data science abilities.
• Candidates must have demonstrated superior communication and interpersonal skills and must be able to work well in a collaborative team environment.
• Candidates should have interests/experience in ANY of the fields of oncology, immunology or neuroscience, but are expected to have a strong emphasis on data science, AI/ML, computational biology and/or experience with large-scale molecular profiling data analyses.
• Specific skill sets should include one or more of the following: experience with R or Python programming languages, basic biostatistics, analysis of bulk or single cell datasets.

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off