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Computational Biologist - Genomics

Finch Therapeutics Group

Computational Biologist - Genomics

Somerville, MA
Full Time
Paid
  • Responsibilities

    Computational Biologist - Genomics Location: Somerville, Massachusetts, United States Full-time About Finch Finch Therapeutics is unlocking the therapeutic potential of the microbiome via our human-first drug discovery platform. We support clinical studies that intentionally manipulate the microbiome to investigate causality in diseases that are otherwise poorly understood, then leverage this clinical data to focus our in vitro and in vivo efforts on cocktails of microbes that have already demonstrated safety and efficacy in humans. Using high-throughput molecular data these human and ex-vivo experiments, we identify specific strains that drive clinical phenotypes and responses to microbial therapies. Our team values transparency, integrity, humility, and collaboration, and we intend to have fun while maximizing our ability to make an impact on patients lives. We are searching for passionate teammates eager to support this mission. Job Description As a member of our Data Science team, your mission is to develop tools and intuition to predict successful microbial therapies. You will design experiments (computational, bench, animal, and clinical) and extract mechanistic understanding from high-throughput microbial data. You will further our microbial drug development platform by mining microbial datasets, developing our machine learning platform, and working closely with both bench scientists and clinicians to brainstorm and test functional hypotheses about microbial community disease. You will have the opportunity to further our IP portfolio and participate in our product development from early discovery to regulatory applications and clinical trials, learning about the full life cycle of a drug's development. Responsibilities will include but are not limited to: * Propose new biological hypotheses for microbial drivers of pathology and therapy, based on high throughput data, lit review, and in house experiments; develop and perform statistical tests of these hypotheses * Use machine learning effectively and develop new analysis strategies for large biological datasets (e.g. 16S, metagenomics) * Work closely with bench scientists to design and analyze microbial function and phenotype experiments * Work with clinicians to help design and analyze clinical trials (particularly of microbial therapeutics) * Communicate analysis results with a variety of audiences including clinicians, bench scientists, industry executives, and academic researchers, especially with effective graphical output. * 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 * Experience executing computational analysis of metagenomic or genomic datasets for at least 1 year * Experience contributing to a scientific project in the field of microbiology or evolution for at least 1 year * Experience applying statistics to model or analyze biological datasets * Proven ability to design and code new algorithms * Facility with big data visualization, especially with R or python matplotlib * Ability to work independently * Eager 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 skills * Passion, humility, and excitement for doing whatever it takes to drive research forward Additional Desired Skills & Experience (not required) * Familiarity with cloud computing, in particular AWS EC2, CFN * Expertise in immunology * Previous experience developing database architecture Application Instructions The start date for this position is flexible. To apply, please go to http://finchtherapeutics.com/join-finch and submit your cover letter and resume. Promising candidates will be contacted to further evaluate their fit for this role and our organization.