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ProFound Therapeutics: Computational Biology Co-Op

Fspco Op012325

Cambridge · Posted Sep 16

Research Onsite
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Location: Cambridge, MA USA Department: Co-Ops & Internships

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.

About ProFound Therapeutics

ProFound Therapeutics Inc. is a privately held, early-stage biotechnology company with the vision to revolutionize the human therapeutic landscape. ProFound has recently made the news by being included in the Fierce Biotech’s list of the hottest Biotech companies. ProFound Therapeutics Inc. was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources, and grows first-in-category life sciences companies. Since 2000, Flagship has created over 75 groundbreaking companies that are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (NASDAQ:MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Evelo Biosciences (EVLO), Kaleido Biosciences (KLDO), and Indigo Agriculture. ProFound Therapeutics, Inc. is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our team.

About Flagship Pioneering

ProFound Therapeutics was founded by Flagship Pioneering's venture creation engine that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the company’s Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

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 s

What they are looking for

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Details

Work type
Onsite
Remote eligible
No

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