Ganapathiraju - Research Assistant

The Research Assistant will support research projects involving bioinformatics, computational biology, and biomedical data science. Responsibilities will include collecting, processing, integrating, and analyzing biological and biomedical datasets; developing and maintaining computational workflows and analysis scripts; working with biological databases and resources; performing statistical, genomic, network, pathway, and other bioinformatics analyses as appropriate to individual projects; evaluating and interpreting results in collaboration with other members of the research team; and preparing figures, data summaries, technical documentation, and technical reports. The Research Associate may also contribute to literature-based data collection, development and evaluation of computational methods, preparation of research manuscripts and presentations, and organization of data and analysis workflows to ensure reproducibility. Candidates must have a strong technical background in bioinformatics, computational biology, or a closely related field, including a solid understanding of molecular biology and biological data, and must have strong programming, quantitative, analytical, and communication skills. Experience with Python and/or R and familiarity with commonly used bioinformatics databases, tools, and computational analysis methods are expected. The ideal candidate will be able to work independently on well-defined analyses while also collaborating effectively across multiple research projects and communicating computational results clearly to researchers from different backgrounds.

Bachelor's degree is Preferred.

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The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Job Details
Job Description: All Temps, Pennsylvania-Pittsburgh
Department: Med-Biomedical Informatics
Campus: Pittsburgh
Minimum Education Level Required: High School Diploma/GED
Minimum Years of Experience Required: No experience required
Average number of working hours per week for this assignment: up to 40 hours per week
Work Schedule: up to 40 hours per week
Is there a potential this assignment will result in a regular Staff position?: No
Work Arrangement: On-Campus: Teams that work on campus, in an office, or in a lab.
Requested Pay Rate: 22.00
Visa Sponsorship Provided: No
Background Check: For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances: Not Applicable
Required Documents: Resume