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Senior Data Scientist Microbiome

R&D | San Francisco, CA | Full Time

Job Description

We are seeking a Senior Data Scientist with deep expertise in computational analyses of biological data to develop our discovery platform. We have created proprietary pipelines to build a unique discovery platform that identifies key, novel bacterial strains and the prebiotics that feed them. This role will work closely with the R&D team.

 

You will help people improve physical and mental health by helping us to create a new category of products that target the microbiome. We are researching, developing and commercializing a novel class of rationally-designed Live Synbiotics™ (probiotics + prebiotics) that have demonstrated clinical efficacy to treat conditions like metabolic syndrome, inflammation and neurodegeneration. We have created proprietary pipelines to build a unique discovery platform that identifies key, novel bacterial strains and the prebiotics that feed them.

 

Working in conjunction with a multi-disciplinary R&D team, you will design, model, analyze and interpret the results of experiments with Lab Scientists. You will work closely with the Engineering team to help architect the overall structure of bioinformatics workflows. You will be expected to fully own R&D projects, manage relationships with other teams, and mentor other team members. Example projects include working with Lab Scientists to evaluate the viability of our strains in different conditions and characterize strains using genomics and molecular assays.  

 

This role will give an unparalleled opportunity to push the boundaries of microbiome and precision medicine research.

 

We are looking for:

 

PhD or Masters in Bioinformatics, Computational Biology, Statistics, Computer Science or related field.

Experience as an individual contributor data scientist in building models and production pipelines (development, deployment and maintenance)

 

Solid knowledge of statistical techniques, e.g., EDA, regression analysis, hypothesis testing and ML methods

 

Hands-on industry experience with Python, AWS, Docker and Unix/Linux environments using Bash, Make and related Unix tools