Data Scientist Jobs in Pittsburgh, PA
Data Scientist jobs in Pittsburgh are concentrated in Oakland, Uptown, and the Strip District, with strong demand across healthcare analytics, finance, and technology. Employers hiring right now include Carnegie Mellon University, United States Steel, and Environmental Data Validation. Scan the live roles below and apply to whichever ones fit.
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Housed within the School of Public Health, the mission of the Department of Health Policy and Management is to improve public health through better planning, design, management, and evaluation of the myriad organizations that provide health services.
Job Summary
Creates and monitors complex participant and protocol scheduling schemes. Develops, implements, and maintains data management systems. Coordinates research activities across multiple groups. Oversees data entry, management, and dissemination procedures. Performs administrative management duties for research projects and oversees the research administration operations of study protocols and methods development.
- Performs administrative management duties for research project/s; provides leadership, expertise, and resolves complex issues. Oversees the research administration operations of study protocols and methods development, including documentation, implementation, algorithm development, and high-level and complex data analyses.
- Creates, facilitates, and directs a complex scheduling scheme involving large numbers of research participants and active protocols. Monitors subject accrual through active protocols.
- Develops, implements, maintains, and manages complex data management systems of multi-dimensional biological datasets, including defining and creating research databases, creating new data collection forms and tables for existing databases, creating data editing routines and export processes, and transferring export datasets to national repositories.
- Coordinates research activities/projects with multiple laboratories.
- Ensures staff adherence to developed protocols.
- Provides data management support for researchers and other staff as needed.
- Oversees data entry, report dissemination, data management procedures, and other project management staff oversight duties as directed.
- Maintains common data model for a large research network
- Provides technical assistance to research partners and sites outside the university
Physical Effort
Position is mostly sedentary.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Housed within the School of Public Health, the mission of the Department of Health Policy and Management is to improve public health through better planning, design, management, and evaluation of the myriad organizations that provide health services.
Job Summary
Creates and monitors complex participant and protocol scheduling schemes. Develops, implements, and maintains data management systems. Coordinates research activities across multiple groups. Oversees data entry, management, and dissemination procedures. Performs administrative management duties for research projects and oversees the research administration operations of study protocols and methods development.
- Performs administrative management duties for research project/s; provides leadership, expertise, and resolves complex issues. Oversees the research administration operations of study protocols and methods development, including documentation, implementation, algorithm development, and high-level and complex data analyses.
- Creates, facilitates, and directs a complex scheduling scheme involving large numbers of research participants and active protocols. Monitors subject accrual through active protocols.
- Develops, implements, maintains, and manages complex data management systems of multi-dimensional biological datasets, including defining and creating research databases, creating new data collection forms and tables for existing databases, creating data editing routines and export processes, and transferring export datasets to national repositories.
- Coordinates research activities/projects with multiple laboratories.
- Ensures staff adherence to developed protocols.
- Provides data management support for researchers and other staff as needed.
- Oversees data entry, report dissemination, data management procedures, and other project management staff oversight duties as directed.
- Maintains common data model for a large research network
- Provides technical assistance to research partners and sites outside the university
Physical Effort
Position is mostly sedentary.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
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Who's Hiring
Data Scientist Jobs in Pittsburgh: Frequently Asked Questions
How do I get a data scientist job in Pittsburgh?
Focus on Pittsburgh's strongest hiring sectors: health systems, financial services, and the university-adjacent tech ecosystem in Oakland and Shadyside. Candidates with experience in predictive modeling, healthcare data pipelines, or risk analytics tend to stand out locally. Building connections through Pittsburgh's tech meetup community and targeting roles at research-affiliated institutions gives you a concrete edge over remote applicants who lack Pittsburgh-specific experience.
Which companies hire data scientists in Pittsburgh?
Employers hiring data scientists in Pittsburgh right now include Carnegie Mellon University, United States Steel, and Environmental Data Validation, based on current listings on Migrate Mate as of September 2026. Pittsburgh's hiring mix reflects its economy: large health systems, regional banks and insurance firms, and a growing cluster of robotics and AI startups spun out of Carnegie Mellon and the University of Pittsburgh.
Are there remote data scientist jobs in Pittsburgh?
Yes, data science is one of the more remote-friendly roles given its desk-based, analytical nature. About 100% of data scientist openings tied to Pittsburgh are remote or hybrid as of September 2026, reflecting how broadly the work can be done off-site. Model development, data wrangling, and reporting work are most commonly offered remotely, while embedded team roles at hospitals or financial institutions often require on-site presence.
How can I get a data scientist job in Pittsburgh with little or no experience?
The most realistic entry path in Pittsburgh is targeting junior analyst or associate data scientist roles at the city's large health systems or insurance companies, which regularly hire candidates from local graduate programs. Roles in data quality, business intelligence, or clinical reporting frequently serve as stepping stones. Building a portfolio of Python or R projects and engaging with Pittsburgh's tech and AI meetup scene can differentiate you with employers who value demonstrated initiative over years of experience.
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