Senior Data Analyst
Job ID: R0036495 | Data Analysis | Full Time | Charlottesville, VA
The Department of Molecular Physiology and Biological Physics seeks a Data Analyst with interest in computational biology research to work in Dr. Gloria 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.

Senior Data Analysts analyze data to draw conclusions and provide sophisticated analysis and reports. They are distinguished from Data Analysts by greater complexity in assigned tasks, greater degree of expertise, and substantial impact of analysis. They support efforts to ensure that data standards are developed and maintained. They assist in business and system re-engineering and architecture development. Senior Data Analysts act as an organizational consultant on matters relating to databases. They serve as the subject matter expert in special projects related to the specific data type.

The preferred candidate will possess a bachelor's 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 with demonstrated ability to function proactively. Background in genomics, MS-based proteomics or network science is a significant plus. Experience analyzing long-read sequencing datasets (PacBio, ONT platforms) is a plus. However, all backgrounds will be considered—applicants from other quantitative fields but with a strong interest in the biomedical informatics research domain are welcome to apply. This is an opportunity to work with an emerging leader in cutting-edge proteomics analysis, including on high-profile projects, in a supportive training environment.

Job Responsibilities:
  • Manage the analysis of information and identify, interpret and report the trends or patterns found in data sets. Deliver recommendations based on findings.
  • Synthesize data analysis by creating graphs, reports and presentations of results in order to make strategic and programmatic decisions.
  • Manage the development of content for seminars, forums and presentations. Present data in a way that can be easily and quickly grasped by stakeholders.
  • Ensure that policies governing data management are met, including security and privacy.
  • Consult with clients over questions of best practices in data analysis.
  • In addition to the above job responsibilities, other duties may be assigned.

  • Education: Bachelor's degree.
  • Experience: At least three years of experience. Relevant experience may be considered in lieu of a degree. Graduate-level education with relevant capstones or thesis work may be counted as experience.

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 selected applicant will be required to complete a background check and health screen prior to their first day of employment per university policy.

This is a restricted position and continuation is dependent on the availability of funding and satisfactory performance.

Priority application review will begin June 1, 2022, but the position will remain open until filled.

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Charlottesville, VA
Charlottesville, VA 22903

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