Job Description
Our Research & Development Division Data, AI & Genome Sciences (D&GS) 2027 Future Talent Program
The Future Talent Program within our Research & Development Division Data, AI & Genome Sciences (DAGS) Department is offering two computational co-op positions for a six-month term. These roles are designed to give students hands-on experience applying computational methods to real drug-discovery questions, develop their skills, and help both the student and the team evaluate longer-term fit. We are seeking highly motivated, talented students with strong computational and quantitative skills.
Location: Cambridge MA, Boston MA, or South San Francisco CA (remote may be considered)
Term: Full-time, six months
The roles:
1. Computational Oncology
Analyze and integrate large transcriptomic datasets to understand tumor biology and support target and biomarker discovery. Projects may include:
•Analysis of bulk and single-cell RNA-seq data - quality control, cell-type annotation, and characterization of tumor and tumor-microenvironment cell states.
•Relating molecular profiles to drug and therapy response using large-scale screening and sequencing datasets, to help prioritize and evaluate candidate targets.
•Characterizing the transcriptional response to therapeutic perturbation (e.g. targeted agents, antibody-drug conjugates, immunotherapy) to inform mechanism of action.
•Building clear, reproducible analyses and visualizations that communicate findings to project teams.
2. Computational Immunology
Apply computational methods to immune-profiling datasets to better understand disease biology and the immune response, and to support target evaluation. Projects may include:
•Analysis of immune-focused sequencing data (e.g. single-cell and bulk RNA-seq) to characterize immune cell states and their changes across disease and treatment.
•Analysis, implementation, and visualization of methods for studying interactions among disease-relevant biological networks.
•Data mining of internal and external molecular databases to support therapeutic discovery, disease stratification, and biomarker identification.
Required education and skills
•Currently enrolled in at least a Bachelor's degree program in biological sciences, computational biology, bioinformatics, or a related quantitative field. Students in graduate programs (MS or PhD) are highly encouraged to apply.
•Available to work full-time for six months.
Preferred skills and experience
•Excellent academic achievement and analytical ability.
•Strong communication and interpersonal skills, and the ability to work well in a collaborative team.
•Demonstrated interest or experience in any of - molecular biology, immunology, oncology, cancer biology, neuroscience, or bioinformatics.
•Programming experience in R and/or Python.
•Experience analyzing bulk or single-cell sequencing datasets (e.g. RNA-seq, scRNA-seq) and familiarity with standard statistical and visualization methods.
•Comfort working with large datasets and cloud or high-performance computing environments is a plus.
Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.
Salary range:
The salary range for this role is $39,908 - $111,111
Required Skills: Bioinformatics, Biological Network Analysis, Biomarker Identification, Cellular Immunology, Clinical Research, Computational Biology, Computer Programming, Database Management, Data Science, Data Security, High Performance Computing (HPC), Immune Response, Immunology, Immunotherapy, Mechanism of Action, Molecular Biology, Oncology, Project Management, Python (Programming Language), RNA-Seq, Single-Cell Genomics, Software Proficiency, Transcriptomics, Tumor Microenvironment
Employee Status: Intern/Co-op (Fixed Term)
Relocation: No relocation
VISA Sponsorship: No
Travel Requirements: No Travel Required
Flexible Work Arrangements: Hybrid
Shift: Not Indicated
Valid Driving License: No
Job Posting End Date: 12/4/2026
