RESPONSIBILITIES

• Work in an exciting multi-disciplinary organization of software and hardware engineers, bioinformaticians, chemists, and molecular biologists developing state-of-the-art, single-molecule, genomic analysis systems.
• Create / implement foundational software layers including scientific data management services and interfaces to HPC cluster and cloud compute environments.
• Quickly identify solutions to complex data processing and automation problems for use in production instrument software and internal analysis tools.
• Write and execute test plans for peer review; maintain software development practices adhering to company standards for coding and unit/functional test coverage.

REQUIREMENTS

• M.S. in computer science, electrical engineering or in physical science disciplines; candidates with a similar B.S. degree and a high level of relevant experience will also be considered.
• Candidates with experience in Python, R or Scala are preferred.
• 4+ years of experience developing reusable components, automated tests, utilizing formal software development processes, employing best practices, understanding of FDA compliance regulations
• Experience maintaining software projects under source control with git, svn, p4, or similar
• Experience with multithreading programming and/or HPC technologies
• Experience in the life-sciences tools domain, especially DNA sequencing, is preferred but not required.
• Preference is shown to candidates with strong analytical and development skills who demonstrate the capability to bring solutions beyond the prototype stage for deployment in performance-critical production software.

LOCALE

HOW TO APPLY

POLICY