ProFound Therapeutics: Computational Biology Co-Op

About the role

This position is open exclusively to current Northeastern University Co-Op students.

Work Period: January 2027 to June 2027. This is a full - time, 40 hours per week position with 5 days in office.

Flagship Pioneering Co-Op Program

Welcome to Flagship Pioneering Co-Op Program for the cohort dreaming big and taking courageous leaps. You'll join fellow peers across our ecosystem of companies and learning firsthand how we build first-in-category companies. You'll have access to enrichment sessions, a dedicated professional development track, and a mentor that help guide you toward your next step. By the end, you will carry on a meaningful project outcome, a genuine network, and a front-row view of how Flagship pioneer new ventures that change the world.

The Role

ProFound Therapeutics is seeking an innovative and highly motivated Co-Op with experience in computational biology and/or human genetics to play a vital role in the company's Computational Biology team.

Under the supervision of members of the Computational Biology team, this individual will receive structured training and hands-on experience in the analysis and interpretation of large-scale human genetics and multi-omics data to support therapeutic target discovery and translational research.

This individual will contribute scientific and technical expertise to a multidisciplinary team, emphasizing conceptualization, analysis, data interpretation, presentation, and strategic planning.

The ideal candidate for this position will have coursework or early research experience in computational biology, statistical genetics, or a related quantitative discipline and be enthusiastic and capable of working in a multidisciplinary (e.g. genomics, bioinformatics, protein biochemistry) team in the biosciences. The candidate should be able to work independently and as part of a team in a fast-paced entrepreneurial setting.

The Co-Op is designed to complement the candidate's academic training and provide exposure to industry-based research and therapeutic development.

Key Responsibilities

• Serve as a contributor to the Computational Biology team, whose mission is to discover new therapeutics and validate new therapeutic targets
• Analyze and interpret large-scale human genetics and multi-omics datasets to support therapeutic target discovery and translational research
• Support and perform statistical genetics and genetic epidemiology analyses, including rare variant association analyses using exome and sequencing datasets
• Contribute to and conduct expression quantitative trait locus (eQTL) and protein quantitative trait locus (pQTL) analyses, and Transcriptome-Wide and Proteome-Wide Association Studies (TWAS/PWAS)
• Assist with single-cell RNA sequencing and other single-cell multi-omics analyses
• Support and conduct proteogenomic analyses integrating genomic, transcriptomic, proteomic, and clinical data
• Support functional interpretation of genetic associations and biological pathways
• Develop and implement reproducible bioinformatics pipelines and analytical workflows using modern computational tools and programming languages
• Interpret, visualize, and communicate scientific findings through presentations, reports, and cross-functional discussions
• Report analysis plans and results to the scientific team
• Proactively review literature to contribute to new ideas and methods/technologies for discovery and therapeutic areas

Minimum Qualifications

• Pursuing a Bachelor's or Master's degree in computational biology, bioinformatics, statistical genetics, biostatistics, computer science, or a related quantitative field
• Coursework or hands-on research experience working with biological or other large datasets, and attention to detail
• Working familiarity with at least one programming or statistical language (e.g. R, Python)
• Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
• Strong collaborative skills with evidence of working in a team

Preferred Qualifications

• Prior industry or academic research co-op experience in computational biology, human genetics, or bioinformatics
• Coursework or research exposure to genetics, genomics, or the statistical analysis of biological data
• Experience working with genomic or transcriptomic datasets (e.g. RNA sequencing, single-cell, or genotype data)
• Familiarity with command-line/Unix environments or version control (e.g. Git)
• Exposure to high-performance computing or cloud computing environments
• Confident execution, focused and team-oriented with an ability to thrive in an entrepreneurial environment
• Interest in the application of human genetics and computational biology to drug discovery and translational medicine

What We Offer

• Build alongside founders. You'll work inside the same hypothesis-driven process Flagship uses to conceive and launch first-in-category companies.
• This can be the start of a longer story. Strong co-ops are considered for future opportunities across Flagship and its portfolio companies, not just for this one role.
• Work alongside people who left the safe path. Your colleagues are scientists, engineers, and operators who chose to build something new rather than join something already established.
• Take on real ownership. You're contributing to ventures that are still being defined. Your work can shape real decisions, not just support them.
• Be paid like the contributor you are. Compensation reflects the real work you take on.

• The pay range for this role is $25 - $35 per hour.
• This role is a short-term engagement that is not eligible for health and welfare benefits.
• Retirement benefits may be available after completing a set number of hours.
• Compensation and benefits information is based on ProFound Therapeutics's good faith estimate as of the date of publication and may be modified in the future.