Data Scientist

Data Scientist

Somerville, MA 02143 2016-11-03 - –

Finch Therapeutics

at Finch Therapeutics

About Finch Therapeutics :
Finch Therapeutics is unlocking the therapeutic potential of the microbiome via a human-first drug discovery platform. We support clinical studies that intentionally manipulate the microbiome to investigate causality in diseases that are otherwise poorly understood. Using high-throughput molecular data from clinical studies 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, you be will be reporting to the Director of Data Science, Sonia Timberlake. Your mission will be to develop tools and intuition to predict successful microbial therapies and design experiments, both computational and wetlab, that 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.

Responsibilities will include but are not limited to:
Propose new biological hypotheses for potential microbial drivers and therapies based on literature and proprietary data, develop and perform statistical tests of these hypotheses

Use machine learning effectively and develop new analysis strategies for large biological datasets (eg 16S, metagenomics)

Work closely with bench scientists to design and analyze microbial function 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 computer engineering

Strong understanding of machine learning and/or mathematics, particularly statistics

Proven ability to design and code new algorithms

Experience testing biological hypotheses using large datasets

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 AWS, in particular Amazon EC2

Experience with microbial ecology or evolution, genomics, GWAS

Experience with immunology or gastroenterology

Experience with machine learning in biological datasets.

Previous experience developing database architecture

At Finch Therapeutics, you can expect to engage deeply in the core of our mission. You will grow with a dynamic, rapidly expanding organization, and have an opportunity to contribute to cutting edge research that will truly impact patients’ lives. We offer a competitive starting salary, plus healthcare and other benefits. As we grow, there will be opportunities for promotion and professional development.

Application Instructions:
We are interviewing for this position already, however, the start date for this position is flexible. To apply, please go to http://finchtherapeutics.com/join-finch/, then follow the link for Data Scientist to submit your cover letter and resume. Promising candidates will be contacted to further evaluate their fit for this role and our organization.

To apply for this job please visit tinyurl.com.