You will be joining a talented group of people creating new products targeting the human microbiome to help manage diabetes. This is a highly collaborative team of scientists, physicians, engineers, R&D, manufacturing, clinical, marketers and salespeople who share a common goal: Improving human health by using the latest research from microbiology, molecular biology, genomics, distributed computing, pharmaceutical development and nutrition. You will assist in building products that will help improve the lives of people globally.
In this role, you will work with Lab Scientists in the manufacturing team to lead the design, implementation and release of quality control pipelines including genomics, flow cytometry and other molecular assays.
You will also work with the Data and Software Engineers to build and execute on a long-term roadmap for internal software tools. On the research side, you will work with the Lab Scientists to lead lab and clinical data analysis.
What we need:
PhD 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
Ability to lead/mentor teams on cross-functional projects
Experience mentoring junior data scientists
A big plus for us would be a strong understanding of biology and/or bioinformatics algorithms, e.g., sequence assembly
This is a highly visible role within the organization and this person needs to be self-motivated with the ability to jump right in, figure out what is needed, and what should be prioritized as next steps. This is an awesome team in a very transparent organization.
This is a remote position.
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