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Computational Biologist

Foghorn Therapeutics Inc.
Cambridge, Massachusetts, US
Closing date
May 25, 2022

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Academic / Research, Consultancy/Private Sector
Informatics / GIS
Salary Type
Employment Type
Full time
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Our Culture: Why work with us?

At Foghorn Therapeutics, we believe in "People First, Mission Always."

We put "People First" because we know our people are the key to everything we will accomplish. We value the diversity of background, ideas, perspectives and experiences that our team members bring to Foghorn Therapeutics - demonstrated by our community speaking more than 22 languages and representing over 24 nationalities. We value our teammates as people, not just as employees - validated by our actions that let our people know that we care about them, their families, and their lives.

We say "Mission Always" because we know a relentless commitment to our mission will make a difference in the lives of others. We believe our success will come from evaluating the data to follow the science. We work hard to develop a new class of therapies that could improve the lives of over 2.5 million people with cancer.

Our culture is focused on succeeding through the evaluation of data, not people. And in that, relationships can flourish and develop.

Our Science:

The groundbreaking science behind our therapies continues to yield vital insights into diseases that have confounded physicians and researchers. Our core scientific approach is centered on the chromatin regulatory system, which opens and closes the right sections of DNA at the right time. Breakdowns in the chromatin regulatory system lead to a wide range of diseases, including cancer, impacting millions of people.

Our proprietary Gene Traffic Control® platform is a powerful tool for understanding and modulating the chromatin regulatory system. We are pursuing multiple treatments for breakdowns in this system. We are the only company with the ability to study and target the chromatin regulatory system at scale, in context, and in an integrated way.

The Role:

We are seeking a Computational Biologist to join our passionate team of scientists to lead our collaborative work with the Translational Medicine group. This role is an exciting opportunity to integrate multi-omic pre-clinical and clinical data to help find clinically-relevant biomarkers (for patient selection and drug-response), investigate mechanisms of action, and other exploratory efforts for our most advanced programs of novel epigenetic and chromatin-regulatory therapeutic targets. Most importantly, you will get to work alongside our outstanding experimental / wet-lab biologists in both the Translational Medicine and Biology group.

In This Role, You'll Get To:
  • Work collaboratively with the Translational Medicine and Biology groups to build patient selection and drug response biomarkers, investigate mechanisms of action, and other exploratory efforts
  • Integrate in-house, public, pre-clinical and clinical multi-omics datasets to support these efforts
  • Create, expand, and maintain pipelines for processing high-throughput next-generation sequencing data for clinical genomic, transcriptomic, and epigenomic data
  • Maintain rigorous attention to QC metrics and metadata standards
  • Cultivate a data-centric company philosophy by creating best practices for data sharing and management
  • Maintain scientific and technical expertise through familiarity with scientific literature, attending conferences, and developing relationships with thought leaders


About you:
  • Experience in translational bioinformatics especially development of clinical biomarkers
  • A PhD or equivalent experience in Bioinformatics, Computer Science, Computational Biology, Genetics, Mathematics, Statistics or a related field
  • We are delighted to consider candidates with a range of different experiences/backgrounds and can tailor the formal title to match
  • A strong self-starter, independent thinker, with strong attention to detail
  • Demonstrated industry experience or academic achievement
  • Ability to convey technical information in a clear and thorough manner.
  • Confident execution focused, team-oriented with an ability to thrive in an entrepreneurial environment

Additional Qualifications Of Interest
  • Understanding of biology of transcription and/or chromatin regulatory system
  • Experience with statistics or machine learning, especially as it relates to modeling biological processes using next-generation sequencing data
  • Familiarity with publicly available next-generation sequencing datasets such as TCGA, GENIE, the Dependency Map, etc.
  • Programming skills in a scripting language such as Python or R
  • Proficiency in creating reproducible workflows with an emphasis on Unix, Git, Jupyter or RMarkdown, and cloud computing environments such as Amazon Web Services
  • Experience in creating dashboards or other utilities to allow biologists to investigate data independently


Foghorn Therapeutics is pleased to provide you and your family with a comprehensive suite of benefits, including:
  • Highly competitive and inclusive medical, dental and vision coverage options
  • FSA and HSA for medical expenses and dependent care expenses
  • Free premium access to fitness, nutrition, and mindfulness classes
  • Unlimited paid time off policy
  • Discretionary winter shut down
  • Generous Paid Leave offerings, including 12 weeks of 100% paid parental leave
  • Paid Life, LTD and STD insurance coverages, as well as voluntary benefit options
  • Free parking or subsidized commuter passes

Foghorn Therapeutics is a smoke-free, alcohol-free and drug-free work environment.

Foghorn is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Foghorn Therapeutics will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
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