Bioinformatics Programmer

Location: Cambridge, MA


Impossible? Undruggable? Unachievable? We are seeking a highly motivated individual to join our bioinformatics team in Cambridge. The Bioinformatics Data Specialist will support daily bioinformatics tasks, such as managing, analyzing and visualizing multi-omics data and workflows to characterize perturbations of tumors in order to infer relevant biology. The Specialist will help elucidate the mechanism of action for novel small molecule therapies against historically undruggable oncology targets. The applicant has a results-oriented mindset, paired with an eagerness for learning, and willingness to contribute to a strong culture of teamwork and collaboration in a fast-paced environment.


  • Assist in the analysis of production scale projects. Coordinate with biology and chemical biology teams to develop, optimize and implement experimental and analytical strategies to identify or validate target engagement, mechanism of action and biomarkers for sensitivity to novel anti-cancer therapies, leveraging datasets
  • Perform diverse bioinformatics tasks using common bioinformatics databases and tools
  • Evaluate, develop, implement, and perform algorithms and reproducible workflows for data analysis
  • Communicate and visualize results clearly and succinctly in plots and dashboards
  • Support infrastructure and provide code base maintenance (documentation, testing, and version control)
  • Work closely with the target validation team and contribute to the identification and validation of novel oncology targets leveraging public and proprietary datasets
  • Independently carry out informatics analysis
  • Summarize and present scientific results with clear conclusions and recommendations
  • Develop documentation of analyses conducted and/or analysis plans and specifications, as appropriate
  • Maintain expertise in state-of-the-art bioinformatics methods


  • MSc in bioinformatics, computational biology, computer science, or related discipline with 2+ years of hands-on experience.
  • Proficiency in data analysis including one or more of the following:
    • Diverse types of genomics data such as gene expression profiling, copy number profiling, ChIP-seq, and ATAC-seq, CRISPR screening.
    • basic understanding of statistical analysis principles.
  • Facility in Python and/or R, as well as statistical data analysis and visualization tools/packages (e.g. Shiny, Plotly, Matplotlib).
  • Expertise in linux/unix based environments.
  • Familiarity with data visualization tools and the ability to present complex datasets and analyses to cross-functional audiences.
  • Experience and training in the area of machine learning a plus.
  • Experience with AWS a plus.
  • Experience with Docker a plus.
  • Experience with versioning control (e.g. git) a plus.
  • Experience with image processing a plus.

To apply for this position, please forward your resume and cover letter to