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Flagship Pioneering

Venture capital building bioplatform companies

Computational Biology Co-op

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Internship · Winter 2027Cambridge, MA, USA$25 - $35 /hr

About the Job

Requirements

  • Pursue a Bachelor's or Master's degree in computational biology, bioinformatics, statistical genetics, biostatistics, computer science, or a related quantitative field.
  • Have coursework or hands-on research experience working with biological or other large datasets.
  • Have working familiarity with at least one programming or statistical language, such as R or Python.
  • Be able to convey technical information clearly and thoroughly in communication and presentations.
  • Have demonstrated experience working collaboratively as part of a team.

Responsibilities

  • Contribute to the Computational Biology team’s work to discover therapeutics and validate 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.
  • Review literature proactively to contribute ideas and methods or technologies for discovery and therapeutic areas.

Desired Qualifications

  • Prior industry or academic research co-op experience in computational biology, human genetics, or bioinformatics.
  • Coursework or research exposure to genetics, genomics, or statistical analysis of biological data.
  • Experience working with genomic or transcriptomic datasets, such as RNA sequencing, single-cell, or genotype data.
  • Familiarity with command-line/Unix environments or version control, such as Git.
  • Exposure to high-performance computing or cloud computing environments.
  • Interest in applying human genetics and computational biology to drug discovery and translational medicine.

About the Company

Flagship Pioneering

Venture capital building bioplatform companies

Flagship Pioneering funds and incubates life-sciences ventures by creating bioplatform companies, forming early-stage NewCos and helping them grow into GrowthCos. It identifies broad scientific platforms that can spawn multiple products and builds companies around those platforms to move them from inception to growth. The firm Differentiates itself by actively creating and guiding new platform-based ventures from scratch, rather than only investing in existing companies, building a diverse pipeline of category leaders. Its goal is to develop a portfolio of platform-based biotechnology and life-science companies that deliver multiple products and advance human health and sustainability.

Company size
501-1,000
Company stage
Not listed
Total funding
$11.5B
Headquarters
Cambridge, MD
Founded
2000

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