Software engineer

Position Purpose

The Department of Genome Sciences at the University of Washington has an outstanding opportunity for a Software Engineer. This individual will work at the interface between two laboratories: the Noble Lab develops machine learning and other statistical methods for the interpretation of large genomic and proteomic data sets; the MacCoss Lab focuses on development of high-throughput protein analysis methodologies related to tandem mass spectrometry. The Software Engineer will support the development and maintenance of proteomics software tools for the two labs. The primary goal is to enable widespread adoption of these software tools by the wider research community.

• The position involves opportunities to work with senior engineers.
• Previous lab members have gone on to positions at top software houses (Google, Microsoft, Facebook, Tableau).
• Position is full time, but daily schedule is flexible.
• Working from home is allowed, though we cannot hire remote-only employees.
• This is not a fixed-term position.
• Salary range is $70-90k, up to $100k depending on experience.

Responsibilities

• Software Development (50%): Develop proteomics software research tools and place them into production. This includes the development of both client and server side software. This position will require the development of novel computational methods for the analysis of complex mass spectrometry data.
• Algorithms Research: (25%) Research, test, and implement novel algorithms, in collaboration with other members of the two labs.
• Data Analysis: (10%) Analyze complex time course data using novel in house developed software tools. Train new users on the use of these tools: (10%)
• Mentor junior software developers in the creation of professional quality software tools: (5%)
• Other duties as assigned

Minimum Qualifications

• BS in Computer Science, Engineering or related field
• 4+ years of experience developing in C/C++/C#, or similar experience in Java with willingness to learn C++ and C#.
• Experience handling large software projects and working with and supporting a group of researchers.
• This position requires a strong scientific background and experience in either Windows or Linux software development.

Equivalent education/experience will substitute for all minimum qualifications except where there are legal requirements such as a license/certification/registration.

Desired Qualifications

• MS or PhD in Computer Science, Engineering or related field
• Experience working in a life science research environment, providing user support, and doing statistical analysis
• Experience with cloud computing, virtual machines and automated processing pipelines
• Experience with Python, XML, and proteomics also helpful but not required

Application process

Details available here.