ProFound Therapeutics: Computational Biology Co-Op
About The Position
This position is open exclusively to current Northeastern University Co-Op students. The work period is from January 2027 to June 2027. This is a full-time, 40 hours per week position with 5 days in office. 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Compensation reflects the real work you take on.
- Retirement benefits may be available after completing a set number of hours.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
