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
PhD in computational biology or a related field
Proven track record of statistical analysis of datasets in the life sciences
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)
Experience in the fields of microbiology, evolution, genomics, immunology
Experience with machine learning
Experience executing computational analysis of metagenomic or genomic datasets
Familiarity with cloud computing, in particular AWS EC2, CFN
Previous experience developing database architecture
The start date for this position is flexible. To apply, please go to http://finchtherapeutics.com/jobs, then follow the link for Computational Biologist to submit your cover letter and resume. Promising candidates will be contacted to further evaluate their fit for this role and our organization.
Authorization to work in the US required. No visa sponsorship is possible.