About Watershed
Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis — from lab data to plot — with a single software platform.
We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that’s intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives — all while bringing transformational change to a $40 billion industry.
Responsibilities
- Implement data exploration APIs and tools, including visualizations and
numerical routines - Work closely with in-house biologists and our customers to incorporate feedback
and improvements into the codebase - Create and maintain external documentation for APIs and tools
Qualifications
- Experience in any of the following areas: sequencing data analysis,
bioinformatics, data visualization, or statistics - Programming experience in Python, including experience with Pandas and
Matplotlib - Experience working with Unix/Linux
- Familiarity with software design patterns and best practices
- Strong problem-solving and communication skills
Watershed is an equal-opportunity employer and believes diversity of all types is integral to company success. We do not discriminate on the basis of religion, sexual orientation, gender identity, race, ethnicity, national origin, marital status, veteran status, or disability status.
Top Skills
What We Do
Watershed Informatics is the first end-to-end bio-IT managed service provider. Our Cloud Data Lab enables life sciences organizations of any size to perform mission-critical bioinformatics analyses (such as bulk, single-cell, and spatial transcriptomics; ATAC-Seq; proteomics, etc.) at an order of magnitude less cost and complexity than existing solutions.
The Cloud Data Lab provides reliable, secure, scalable, and accessible storage, computation, and analysis tools specifically optimized for catalyzing the life sciences development pipeline.
Our approach enables biologists to analyze their own -omics data and bioinformaticians to rapidly prototype and deploy bespoke analytic workflows across an organization.
Our clients, including Revitope Oncology, SQZ Biotech, and Rarebase rave about our platform, and we'd love the opportunity to enable your organization's analyses as well.
Please reach out to [email protected] for more information and a live demo.
