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Computational Science Jobs in Pittsburgh, PA (NOW HIRING)

Varsity Tutors

Applied Mathematics Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

Required : • Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related field with 2+ years of experience, or Master's degree in a related field ...

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All JobsComputational Science JobsComputational Science Jobs in Pittsburgh, PA

Computational Science information

See Pittsburgh, PA salary details

$51.2K

$75.4K

$88.9K

How much do computational science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational science in Pittsburgh, PA is $75,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $84,800.00 per year, depending on experience, location, and employer.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

What are the key skills and qualifications needed to thrive as a computational scientist, and why are they important?

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What are some common challenges faced by computational scientists when working on interdisciplinary projects?

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

Is computational science a good career?

Computational science is a viable career that involves using computer models, simulations, and data analysis to solve complex scientific problems. It typically requires strong skills in programming, mathematics, and domain knowledge, and offers opportunities in research, industry, and academia with competitive salaries and growth potential.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

What are popular job titles related to Computational Science jobs in Pittsburgh, PA?

For Computational Science jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Computational Science jobs in Pittsburgh, PA look for?

The top searched job categories for Computational Science jobs in Pittsburgh, PA are:

Computational Science jobs near you
Infographic showing various Computational Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $75,373 per year, or $36.2 per hour.

Computational Data Scientist II

Pittsburgh, PA • On-site

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

Full-time

Re-posted 9 days ago

Job description

The Bioinformatics Core within the Division of Health Informatics at UPMC Children's Hospital of Pittsburgh is seeking a computational biologist or data scientist to develop and apply machine learning and deep learning methods for omics-driven biomedical research. This individual will work closely with faculty and collaborators across multiple pediatric research programs to support biologically grounded, translationally relevant research. Equivalent relevant work experience may be substituted for degree requirement. This position is located at UPMC Children's Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled.
Minimum Qualifications
Applicants should have an MS or PhD in computational biology, bioinformatics, computer science, statistics, data science, biomedical informatics, or a related quantitative field.
The successful candidate should have 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 is expected.
Prior experience working with single-cell, spatial omics, or related high-dimensional omics datasets is highly desirable. Candidates should be strong critical thinkers who can translate ideas into completed analyses, models, or tools; manage contributions across multiple collaborative research projects; work independently and as part of multidisciplinary teams; and demonstrate strong oral and written communication skills.
Preferred qualifications include:
• Demonstrated experience designing and implementing models for high-dimensional biological data, beyond routine application of existing analysis pipelines.
• Hands-on experience with graph neural networks or perturbation modeling.
• Experience integrating omics data with clinical data sources such as electronic health records (EHR).
• Evidence of independent technical contribution, such as first-author or co-author publications, preprints, conference presentations, open-source software, deployed tools, analytical pipelines, or a relevant project portfolio.

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