The Department of Molecular Physiology and Biological Physics seeks a skilled, ambitious Biomedical Data Scientist/Computational Biologist 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.
The preferred candidate will possess a master's in data science, computer science, physical sciences or biological sciences with demonstrated proficiency in bioinformatics, data engineering and analysis, and visualization (R and/or Python). PhD a plus. In addition, the preferred candidate will be familiar with Linux command line and HPC environments and be skilled in agile engineering practices with demonstrated ability to function proactively. Strong background in genomics, MS-based proteomics or network science is a significant 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.
Applications Systems Analyst/Programmer 2 employees formulate and define system scope and objectives based on client needs. They devise or modify procedures to solve moderately complex problems considering computer equipment capacity and limitations, operating time and form of desired results. They are responsible for program design, coding, testing, debugging and documentation. Applications Systems Analyst/Programmer 2 employees are distinguished from Applications Systems Analyst/Programmer 1 employees by their higher-level technical skills and application of skills to their work, additional variation in activities, longer-term assignments, latitude to apply skills to solve routine problems without review, and some latitude to devise the approach and method to performing assignments. They perform routine, daily activities without supervisory intervention, seeking assistance when guidelines are inadequate, significant deviations are proposed, or when unanticipated problems arise. For longer-term assignments, they work under immediate supervision. They train, serve as a resource, and provide guidance to Applications Systems Analyst/Programmer 1 employees on routine problems, processes and policies. Their interactions are typically with fellow team members, but they may also interact with assigned student, faculty and/or staff clients, external vendors or service providers.
Devise or modify procedures to solve complex problems considering computer equipment capacity and limitations, operating time and form of desired results.
Prepare detailed specifications from which programs will be written.
Responsible for program design, coding, testing, debugging and documentation.
May have quality assurance review responsibility.
In addition to the above job responsibilities, other duties may be assigned.
Education: Bachelor's degree in computer science, data science, biomedical engineering, math/stats or related discipline.
Experience: At least one year 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 a restricted position; continuation is dependent on funding and satisfactory performance.
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 successful candidate will pass a criminal background check.
For additional information regarding the position, please contact Gloria Sheynkman, Assistant Professor, Molecular Physiology and Biological Physics at firstname.lastname@example.org
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