Full-Time

High Performance Computing Engineer

Watershed Informatics

Watershed Informatics

11-50 employees

Bio-IT managed service for scalable life sciences analyses

Data & Analytics
AI & Machine Learning

Junior, Mid, Senior

Cambridge, MA, USA

Required Skills
Bash
Python
Linux/Unix
Requirements
  • Experience in parallel computing, distributed computing, computer architecture, and software optimization
  • Programming experience in Python, C/C++, and Bash
  • Experience working with Unix/Linux, containerization, and cloud environments
  • Familiarity with networking, security, and the Linux operating system
  • Ability to analyze very complex problems and come up with novel solutions
Responsibilities
  • Integrate software libraries and cluster computing frameworks into high performance applications
  • Develop solutions for benchmarking, metric collection, and monitoring of resources
  • Collaborate with software engineers to optimizing software and maximize computational throughput

Watershed Informatics stands out as a leading bio-IT managed service provider, offering a Cloud Data Lab that significantly reduces cost and complexity for life sciences organizations conducting critical bioinformatics analyses. The company's platform empowers biologists to analyze their own -omics data and bioinformaticians to quickly prototype and deploy custom analytic workflows, fostering collaboration and efficiency within organizations. Testimonials from clients like Revitope Oncology and SQZ Biotech highlight Watershed's ability to facilitate rapid, high-quality data analysis and hypothesis generation, underscoring its competitive advantage in the industry.

Company Stage

Series A

Total Funding

$30M

Headquarters

Cambridge, Massachusetts

Founded

2020

Growth & Insights
Headcount

6 month growth

12%

1 year growth

80%

2 year growth

100%