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Research Python Jobs in Pittsburgh, PA (NOW HIRING)

Research Assistant

Pittsburgh, PA ยท On-site

$18.75 - $25.75/hr

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 ...

Research Assistant

Pittsburgh, PA ยท On-site

$18.75 - $25.75/hr

... Python code for modeling and simulating thermal transport โ€ข Organize, clean, and manage research ... datasets โ€ข Apply machine learning methods to predict thermal properties

... Python and modern AI development practices Preferred : โ€ข Experience in interdisciplinary research collaborations โ€ข Strong prototyping skills for rapid validation of ideas and systems โ€ข ...

Research Engineer

Pittsburgh, PA ยท On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

Research Scientist

Pittsburgh, PA ยท On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement learning ...

... Python (helpful but secondary to C++) โ€ข Experience with artifact management and code quality ... As part of ARA--an employeeowned international research and engineering organization--we benefit ...

Research Engineer

Pittsburgh, PA ยท On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code ... with research teams to implement and validate deep learning models. - Solid experience with ...

Research Engineer

Pittsburgh, PA ยท On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code ... with research teams to implement and validate deep learning models. - Solid experience with ...

Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI libraries. * Publication record in top venues including ICML ...

Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI libraries. * Publication record in top venues including ICML ...

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Research Python information

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How much do research python jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for research python in Pittsburgh, PA is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.66 per hour, depending on experience, location, and employer.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.
Infographic showing various Research Python job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $118,374 per year, or $56.9 per hour.
Research Assistant

Research Assistant

University of Pittsburgh

Pittsburgh, PA โ€ข On-site

$18.75 - $25.75/hr

Other

Re-posted 5 days ago


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