The Department of Molecular Physiology and Biological Physics seeks a Data Scientist to work in Dr. Sheynkman's Laboratory. The goal of the Sheynkman Lab is to understand the biological significance of proteomic variation through development of integrative proteogenomic and functional proteomics approaches. The qualified candidate will develop the next generation of pipelines to detect protein isoforms by closely integrating methodologies from long-read RNA sequencing and mass spectrometry-based proteomics. They will be responsible for exploratory data analysis and visualization, implementation of novel algorithms and pipelines described in literature, and writing and maintaining software released by the Sheynkman lab. In addition, the candidate will be expected to provide mentoring support to graduate students.
The preferred candidate will possess a Ph.D. in computer science, physical sciences, or biological sciences with demonstrated proficiency in bioinformatics, data analysis, and visualization (R and/or Python). In addition, the preferred candidate will be familiar with Linux command line and HPC environments. Background in genomics, MS-based proteomics, or network science is a plus. Though all backgrounds will be considered, applicants from other fields but with a strong interest in the scientific topic matter are welcome.

Collaborate with assigned departments to provide actionable data-driven insights through research and analysis of data sources and development of statistical mathematical and predictive models. Support departments to make informed data-driven decisions to meet quality and business objectives. Understand all phases of the analytic process including data collection preparation modeling evaluation and deployment. Explore and examine data from multiple disparate sources in order to identify provide reporting on and analyze trends in the data as well as regular reporting for assigned departments. Establish links across existing data sources and find new interesting data correlations. Develop statistical mathematical and predictive models using strategic business understanding to build the algorithms necessary to ask the right questions and find the right answers. Stay appraised of all assigned initiatives providing reporting and analytics that will allow the group to make informed data-driven decisions to meet business objectives. Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the stakeholders. Under general supervision formulates and defines analytic scope and objectives through research and fact-finding. Is able to answer defined questions about health system functions/operations/populations using appropriate statistical techniques on available data. Drives the collection of new data and the refinement of existing data for new purposes. Analyze and interpret the results of experiments to create cost effective and process-efficient alternatives enhancements or modification. Competent to work on most phases of data analysis and associated programming activities.

• Understands all phases of the analytic process including data collection preparation modeling evaluation and deployment.
  
• Under general supervision formulates and defines analytic scope and objectives through research and fact-finding.
  
• Competent to work on most phases of data analysis and associated programming activities.
  
• In addition to the above job responsibilities, other duties may be assigned.
  

MINIMUM REQUIREMENTS

Education: Master's Degree required.
Experience: 3-5 years relevant experience.
Licensure: None required

The position will remain open until filled. This is an exempt-level, benefitted position. The University will perform background checks on all new hires prior to employment. A pre-employment health screening is required. This position is located in Charlottesville, VA.

To Apply:

External applicants please apply here .

Internal applicants must apply through your Workday Home page, search "Find Jobs," and search for "R0061415."

Complete an application online with the following documents:

• CV/Resume
• 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 Eric Allen, Academic Recruiter, at uth9qh@virginia.edu .

For more information on benefits, please visit hr.virginia.edu/benefits .

PHYSICAL DEMANDS

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.

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.