1

Research Assistant Software Developer Jobs in Pittsburgh, PA

Research Assistant

Pittsburgh, PA ยท On-site

$18.75 - $25.75/hr

Perform basic thermal property simulations using commercial software Develop Python code for ... Programming skills in Python Familiarity with numerical methods or scientific computing Experience ...

Junior Software Developer

Pittsburgh, PA ยท On-site +1

$65K - $84K/yr

The Junior Software Developer role will develop new features for our software application, research and build innovations with new technologies, and collaborate with a team of engineers/analysts to ...

Junior Software Developer

Pittsburgh, PA ยท Remote

$68K - $89K/yr

The Junior Software Developer role will develop new features for our software application, research and build innovations with new technologies, and collaborate with a team of engineers/analysts to ...

Research Assistant

Pittsburgh, PA ยท On-site

$18.75 - $25.75/hr

Responsibilities: โ€ข Perform basic thermal property simulations using commercial software โ€ข ... research datasets โ€ข Apply machine learning methods to predict thermal properties

next page

Showing results 1-20

Research Assistant Software Developer information

See Pittsburgh, PA salary details

$28.6K

$97.3K

$234.5K

How much do research assistant software developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for research assistant software developer in Pittsburgh, PA is $97,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $102,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by research assistant software developers when working on interdisciplinary research projects?

Research Assistant Software Developers often collaborate with researchers from diverse academic backgrounds, which can introduce challenges in communication and aligning technical requirements with research goals. Adapting software solutions to evolving project needs and integrating new methodologies or datasets can require quick learning and flexibility. Balancing rigorous coding standards with rapid prototyping, especially under tight research deadlines, is another frequent challenge. However, this role provides valuable exposure to cutting-edge research and fosters strong problem-solving and teamwork skills.

What is a research assistant software developer?

Research Assistant Software Developers are professionals who support research projects by developing, maintaining, and optimizing software tools and applications. They work alongside researchers, helping to design experiments, process data, and create algorithms or simulations necessary for the research. Their role bridges the gap between software engineering and academic research, ensuring that technical solutions meet the specific needs of scientific studies. This position often requires strong programming skills, familiarity with research methodologies, and the ability to collaborate in interdisciplinary teams.

What is the difference between Research Assistant Software Developer vs Data Analyst?

AspectResearch Assistant Software DeveloperData Analyst
Required CredentialsBachelor's in CS, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Research Assistant Software Developer and a Data Analyst lies in their focus areas. Research Assistant Software Developers primarily work on developing software tools for research purposes, often within academic or research settings. Data Analysts focus on interpreting data to inform business decisions. Both roles require programming skills and analytical thinking, but their end goals and work environments differ.

What are the key skills and qualifications needed to thrive as a research assistant software developer, and why are they important?

A Research Assistant Software Developer should have solid programming skills, a background in computer science or a related field, and experience with software development methodologies. Familiarity with tools like Git, Python or Java, and data analysis libraries, as well as knowledge of research-specific platforms, is commonly required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure the development of robust research software, facilitate collaboration with research teams, and contribute to the advancement of scientific projects.
What are popular job titles related to Research Assistant Software Developer jobs in Pittsburgh, PA? For Research Assistant Software Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Research Assistant Software Developer jobs in Pittsburgh, PA look for? The top searched job categories for Research Assistant Software Developer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Research Assistant Software Developer jobs? Cities near Pittsburgh, PA with the most Research Assistant Software Developer job openings:

Research Assistant

University of Pittsburgh

Pittsburgh, PA โ€ข On-site

$18.75 - $25.75/hr

Full-time

Re-posted just now


Job description

We are seeking a motivated applicant to support research on thermal transport and materials properties. The position involves simulation, coding, data management, and introductory machine learning.

Responsibilities:
Perform basic thermal property simulations using commercial software
Develop Python code for modeling and simulating thermal transport
Organize, clean, and manage research datasets
Apply machine learning methods to predict thermal properties

Applicant should be familiar with:
Programming skills in Python
Familiarity with numerical methods or scientific computing
Experience with data processing and analysis
Knowledge of machine learning frameworks
Strong attention to detail and ability to work independently