The Department of Biomedical Engineering at the University of Virginia is seeking a Software Engineer in Dr. Kristen Naegle's laboratory to work on hardening and further development of an algorithm to predict patient-specific kinase activities. The Naegle lab is a vibrant and interdisciplinary team of undergraduate students, graduate students, postdoctoral researchers, and lab staff that seek to help develop approaches to further our understanding of cell signaling in healthy and diseased states. They have a long history of producing robust and open-source software to advance biological and biomedical discoveries.

The software engineer will be responsible for developing software and working collaboratively with a team of scientists at UVA and beyond for deployment of algorithmic pipelines on a cloud-based infrastructure. Excellent development of documentation, testing, and robust code is a necessity to enable the potential of a large clinical impact. The development team will work together to identify and develop further algorithm advances, along with making the algorithm easy-to-use for clinicians.

For questions about the positions or lab, please contact Dr. Kristen Naegle at kmn4mj@virginia.edu.

Minimum Qualifications:

• Education: Bachelor's degree in Computer Science, MIS, Computer Engineering or related discipline

• Experience: At least one year of experience. Relevant experience may be considered in lieu of a degree.

Preferred Qualifications:

• Experience and understanding of biology or molecular biology is a feature of a great fit, but not a necessity for this position.

• Experience in Python, databases, and cloud-based deployment, or a demonstration of the ability to learn such techniques relatively quickly, are additional assets of a software engineer that will make for an excellent fit for this position.

Physical Demands:

This position is located in Charlottesville, VA. This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

This position is a restricted position and is dependent upon project need, availability of funding and performance. This is an Exempt level, benefited position.  For more information on the benefits at UVA, visit hr.virginia.edu/benefits . 

This position will remain open until filled.  The University will perform background checks on all new hires prior to employment.  A completed pre-employment health screen is required for this position prior to employment.

References will be completed via UVA’s standardized process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process.

This position will not sponsor applicants for work visas.

Anticipated Hiring Range based on education and experience.

To Apply:

Please apply through Workday , and search for R0053598 .

Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'

Complete an application online with the following documents:

• CV

• Cover letter

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission.  Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Yelena Markazyan, Academic Recruiter at ym3mm@virginia.edu

For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.