Data Scientist II: Multi-Omics & AI-Driven Biomed Research

The University of Pittsburgh; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

The University of Pittsburgh invites applications for a Data Scientist II in Quantitative Biology, focusing on multi-OMICs integration and AI/ML modeling in a translational research setting.

The role emphasizes development of scalable data analysis pipelines, statistical modeling, and collaborative work across biology, engineering, and computational sciences. A Master's degree is required (PhD preferred) with at least 3 years of relevant experience.

Qualifications

• Master’s degree (Ph.D. preferred) in a quantitative field such as Bioinformatics, Biostatistics, Computational Biology, Data Science.
• Minimum of 3 years of relevant experience in data analysis, statistical modeling, or computational biology.
• Strong expertise in statistical analysis, quantitative modeling, and data interpretation.
• Proficiency in programming languages commonly used in scientific computing (Python, R).
• Experience working with complex, high-dimensional biological datasets.
• Experience developing reproducible computational workflows and data processing pipelines.

Responsibilities

• Design and implement robust, scalable data analysis pipelines for multimodal datasets (virology, imaging, multi-OMICs).
• Lead development and application of statistical models to quantify infection dynamics and therapeutic endpoints.
• Develop and apply machine learning and AI-based approaches for pattern recognition and predictive modelling.
• Perform integrative, systems-level analyses across diverse molecular, cellular, functional, and temporal datasets.
• Collaborate with investigators on study design, statistical planning, and quantitative frameworks.

Skills

Statistical analysis

Data interpretation

Communication skills

Independent & collaborative

Education

Master’s degree (Ph.D. preferred) in Bioinformatics, Biostatistics, Computational Biology, Data Science

Tools

Python

R

Machine learning

Job description

The University of Pittsburgh invites applications for a Data Scientist II in Quantitative Biology, focusing on multi-OMICs integration and AI/ML modeling in a translational research setting.

The role emphasizes development of scalable data analysis pipelines, statistical modeling, and collaborative work across biology, engineering, and computational sciences. A Master's degree is required (PhD preferred) with at least 3 years of relevant experience.