Computational Biology, Principal Scientist

MOMA Therapeutics
Allston, Massachusetts, US
May 09, 2021
May 25, 2021
Biology, Genetics
Employment Type
Full time
Salary Type
Job Description
Imagine joining a company where you….
  • Will be part of an experienced and resilient team that is collectively unstoppable, trusts one another, and selflessly collaborates
  • Will be part of a group comprised of incredible humans who are committed to the discovery of transformative medicines for cancer patients
  • Can be the CEO of your own role and master of your own craft
  • Are needed… because the work you will do is critical to the success of the company, and because patients are counting on you

About MOMA Therapeutics

At MOMA Therapeutics, we are discovering the next generation of medicines. We are motivated by a single common goal, to discover and develop innovative new medicines for patients through our singular focus: the therapeutic targeting of molecular machines.

In this role you will..
  • Drive the computational biology capability across the discovery organization. This critical and dynamic role requires an exceptional ability to generate, interrogate and refine biological hypotheses using large-scale genomic data
  • Collaborate with lab scientists and teams across the organization to generate actionable and impactful patient responder hypotheses that can be tested in the lab or the clinic
  • Creatively integrate internal and external large-scale datasets to generate unique disease insights that directly impact drug discovery projects
  • Regularly present scientific hypotheses and findings to scientific leadership teams

About you:
  • You have completed a post-doc and have extensive computational biology experience in academia or the pharmaceutical/biotech industry
  • You have a PhD in computational biology, oncology, cell biology, genetics, or a similar computational/biology related field
  • You have proven experience in effectively working with lab scientists to formulate and answer biological questions through the computational integration and analysis of data
  • You're an expert in current and emerging public genomic/proteomic databases (e.g. TCGA, DepMap, gnomAD, UK Biobank, Project Score...)
  • You have a solid understanding of statistical/algorithmic principles behind common genomics approaches
  • Fluent in R and in one or more additional programming languages (e.g. Python, Julia, Rust)
  • You are comfortable working in multiple computing environments including cloud-based platforms
  • You understand and value reproducible data analysis approaches (e.g. using Jupyter/Rmd notebooks, version tracking through git, designing/executing nextflow workflows)
  • You work hard, you are kind to others, and you enjoy being a part of a collaborative team that delivers

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