Research Scientist, Bioinformatics

Location: Cambridge, MA


We are seeking a highly motivated individual with a diverse background to lead our bioinformatics function. This person will have a strong understanding of genomics and proteomics data and the ability to design and execute analyses to assess target engagement and mechanism of action for novel small molecule therapies against historically undruggable oncology targets. It is essential that this individual has the ability to incorporate cutting edge bioinformatics technologies, data management and genomic analysis tools. This individual will collaborate closely with the biology and chemical biology teams and will be expected to contribute to strategy development and planning, implementation of infrastructure, tool development and execution of individual projects.

This role requires solid scientific training in one of the relevant disciplines and a results-oriented mindset with a focus on real world impact. The candidate should also be a quick learner, extremely flexible and able to adapt to needs and new scientific advancements.


  • Mine and analyze publicly available databases to understand underlying biological mechanisms or processes
  • 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 derived from:
    • CRISPR library screens
    • ChIPseq / ATACseq and nanostring experiments
    • Large scale cell viability panels paired with genomic/proteomic/RNAseq datasets
    • Quantitative mass spec experiments (whole cell lysate, IP samples, pull-down samples)
  • Independently design and perform diverse bioinformatics tasks using common bioinformatics databases and tools.
  • Evaluate, develop, implement, and perform algorithms for data analysis
  • Support infrastructure and provide code base maintenance (documentation, testing, and revision control)
  • Work closely with the target validation team and contribute to the identification and validation of novel oncology targets leveraging public and proprietary datasets
  • Represent bioinformatics discipline within the discovery research team to provide broad support and ensure best use of all relevant data impacting project decisions:
    • Proactively identify opportunities and propose informatics solutions
    • Independently carry out informatics analysis
    • Summarize and present scientific results with clear conclusions and recommendations
  • Contribute to the development of innovative data management/integration and information intelligence solutions:
    • Act as bridge between end users and developers to clarify and define system requirement
    • Provide bioinformatics support to ensure data quality and usability
    • Conduct data mining to extract maximal value out of information system
  • Maintain expertise in state-of-the-art bioinformatics methods.


  • Advanced degree in bioinformatics, computational biology, computer science, or related discipline with 2+ years of post-doctoral or industry experience in a related field.
  • Proficiency in data analysis including:
    • Next generation sequencing data
    • Diverse types of genomics data such as gene expression profiling, copy number profiling, CRISPR screening, and expert user of genomics data analysis tools/packages such as Bioconductor, GenePattern, or equivalent
    • Solid understanding of statistical analysis principles and expert user of one of the statistical data analysis tools/packages, such as R, matlab, python, SAS or equivalent
  • Ability to independently manage and manipulate large datasets
  • 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.

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