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Watershed Informatics

Software Engineer

Boston, Massachusetts, United States

Location
Boston, Massachusetts, United States
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
72 months ago

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About the role

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.

Source

Posted by Watershed Informatics on their own hiring page, boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 12:02 UTC; the original is the reference.

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