2027 Future Talent Program - Translational Genome Analytics - Co-op

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

FTP2027

RL2027

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Required Skills:

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