Computational Data Scientist II

About the role

This position is located at UPMC Children’s Hospital of Pittsburgh in Lawrenceville. The successful candidate will work closely with faculty and collaborators across multiple pediatric research programs to support biologically grounded, translationally relevant research.

Responsibilities

• Develops and applies advanced computational methods, including representation learning, transfer learning, and multimodal integration to omics-based biomedical datasets.
• Designs, trains, and validates models for omics and biomedical data, including adapting or building foundation model frameworks.
• Works across multiple collaborative research projects with faculty, data scientists, bench scientists, clinicians, and other investigators to ensure analyses are grounded in valid biological and translational questions.
• Interprets results and communicates findings clearly through written summaries, figures, presentations, manuscripts, and grant sections.
• Buils and maintains interactive dashboards, visualization tools, or applications using Shiny or comparable frameworks so collaborators can explore data and predictions directly.
• Follows Core, institutional, and research compliance policies for data handling, documentation, reproducible analysis, and responsible use of biomedical data.

Requirements

• MS or PhD in computational biology, bioinformatics, computer science, statistics, data science, biomedical informatics, or a related quantitative field.
• Strong programming skills in Python and/or R, with experience using libraries such as PyTorch, TensorFlow, scikit-learn, or comparable tools.
• Experience in applying computational or statistical modeling to biomedical or biological datasets.
• Prior experience working with single-cell, spatial omics, or related high-dimensional omics datasets is highly desirable.

Qualifications

• Strong critical thinking skills to translate ideas into completed analyses, models, or tools.
• Ability to work independently and as part of multidisciplinary teams.
• Excellent oral and written communication skills.

Skills

• Experience designing and implementing models for high-dimensional biological data.
• Hands-on experience with graph neural networks or perturbation modeling.
• Experience integrating omics data with clinical data sources such as electronic health records (EHR).

Benefits

The University of Pittsburgh offers a comprehensive benefits package including medical, dental, vision, retirement plans, paid time off, and more.

Pay

TBD

Schedule

On-Campus: Teams that work on campus, in an office, or in a lab.