Watershed Informatics

HQ
Cambridge, Massachusetts, USA
15 Total Employees

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Jobs at Watershed Informatics

Search the 7 jobs at Watershed Informatics

Cloud • Information Technology • Biotech
The Customer Success Engineer at Watershed supports customers in using the biocomputing platform by resolving technical issues, analyzing usage data, and creating documentation. They work alongside the Product Manager and Head of Operations to ensure customer satisfaction and improve service efficiency.
Cloud • Information Technology • Biotech
Hiring a UI Software Engineer to design and build powerful interface features for genomic analysis and system management software. Responsible for creating intuitive user interfaces, integrating with backend APIs, and working closely with designers and engineers to iterate on platform design and functionality.
13 Days Ago
Boston, MA, USA
Cloud • Information Technology • Biotech
Implement data exploration APIs and tools, work with biologists and customers to incorporate feedback, create and maintain documentation for APIs and tools.
Cloud • Information Technology • Biotech
Watershed Informatics is hiring a Senior Software Engineer to design and build new features for their omics research platform. The role involves developing services to improve how scientists analyze omics data on Cloud Data Lab and collaborating with bioinformaticians and engineers to enhance the platform.
Cloud • Information Technology • Biotech
Integrate software libraries and cluster computing frameworks, develop solutions for benchmarking and monitoring resources, collaborate with software engineers to optimize software
Cloud • Information Technology • Biotech
The Site Reliability Engineer at Watershed will build and deploy Linux servers, research and implement new technologies, monitor system performance, and troubleshoot technical issues to support a high-performance biocomputing platform.
Cloud • Information Technology • Biotech
The Performance Marketing Analyst will integrate and report on all digital marketing activities, combining data from various channels to assess sales performance, optimize marketing spend, and provide insights to leadership for data-driven decisions.