This job has expired

Principal Scientist, Computational Biology

Employer
Flynn Life Sciences Group, Inc.
Location
Boston, Massachusetts, US
Salary
Competitive
Closing date
Dec 9, 2021

View more

You need to sign in or create an account to save a job.
Responsibilities
  • Lead cross-functional project teams and scientific working groups, and align project and team objectives with company strategy
  • Collaborate with internal and external partners in interdisciplinary teams and represent Data Science as the prime technical and/or scientific expert
  • Clearly communicate project plans, results, caveats, and rationale for decision-making with a variety of audiences including clinicians, bench scientists, industry executives, and academic researchers
  • Develop and maintain expert knowledge of advanced concepts in one or more relevant areas: microbial/host genomics, statistics, immunology, drug development and translational research
  • Propose new biological hypotheses for microbial drivers of pathology and therapy based on analysis of high throughput data, literature review, and in house experiments; work with bench scientists to design microbial and host function and phenotype experiments, and lead analysis of resulting data to test these hypotheses
  • Contribute to advancing Finch's computational platform by developing new analysis strategies for large heterogenous biological datasets (e.g. transriptomic, metagenomic, metabolomic, proteomic) through effective use of machine learning and multivariable statistics
  • Work with clinicians to analyze high-throughput trial data to enable translational research
  • May manage other computational scientists and bioinformatics research associates
  • Work effectively as part of a multifunctional team in support of a commercially viable therapeutics discovery platform


Qualifications
  • PhD in computational biology or a related field with 5+ years of industry experience or significant relevant post-doctoral experience in drug discovery or biomedical/clinical research
  • Track record of leading cross-functional, project-focused, teams to drive scientific discovery
  • Proven expertise in statistical analysis of high-throughput datasets from one or more of: genomics/ transcriptomics of microbial community or host systems, metabolomics, immunology, and genetics.
  • Proficiency in algorithm design, implementation and deployment using R/Bioconductor, Python, or other contemporary, open-source tools
  • Proficiency with data visualization, especially with R or python matplotlib
  • Familiarity with cloud computing, in particular Google Cloud
  • Ability to work independently
  • Eagerness to work collaboratively in a team and to both give and receive feedback to support professional development for self and others
  • Ability to perform complex analyses in a time sensitive fashion
  • Strong organizational and communications and team-work skills
  • Passion, humility, and excitement to drive research forward
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert