Research Assistant - Computational Biology / Computer Science
University of Pittsburgh
Pittsburgh, PA, USA
USD 25-25 / hour
Posted on Nov 19, 2025
Research Assistant – Computational Biology / Computer Science
All Temps - Pennsylvania-Pittsburgh - (25006386)
Overview:
We invite applications from recent graduates with a background in Machine Learning and Computer Science or related field to work on computational biology and biomedical AI projects. Prior experience in computational biology is NOT required. The position involves developing and implementing algorithms and data pipelines and building AI-driven tools that integrate biomedical knowledgebases and data. This role provides exposure to cutting-edge biomedical data science and opportunities for research publications.
Responsibilities:
- Develop and implement algorithms for data analysis, graph-based modeling, and machine learning
- Develop and maintain (Python-based) software for data processing pipelines
- Work with large-scale biomedical datasets
- Contribute to research
- Study publications and other sources of information to gain relevant knowledge
- Collaborate with team members on AI-based projects for biological discovery
- Document workflows, code, and datasets for reproducibility
- Prepare data summaries, figures, and reports for publications and grant proposal submissions
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Contribute to writing research publications and presentations if applicable.
Preferred Qualifications:
- Master’s degree in Computer Science, Data Science, or a related discipline. Exceptionally skilled candidates with Bachelor’s degree may also qualify.
- Strong programming skills in Python; Experience in C/C++ is desirable.
- Experience with databases (MySQL/PostgreSQL), data visualization, and Git/GitHub
- Interest in machine learning, LLMs, or graph neural networks
- Willingness to learn biological concepts
- Strong analytical and communication skills
Department: Med-Biomedical Informatics
Campus: Pittsburgh
Minimum Education Level Required: Bachelor's Degree
Minimum Years of Experience Required: 1
Average number of working hours per week for this assignment: 30 hours/week
Work Schedule: Hours will vary each week
Is there a potential this assignment will result in a regular Staff position?: No
Work Arrangement: Hybrid: Combination of On-Campus and Remote work as determined by the department.
Requested Pay Rate: 25.00
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