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Research Python Jobs in Pennsylvania (NOW HIRING)

University of Pittsburgh

Research Assistant

Pittsburgh, PA · 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 ...

Skild AI

Research Engineer

Pittsburgh, PA · 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 ...

Skild AI

Research Scientist

Pittsburgh, PA · 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 ...

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Research Python information

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

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.

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.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

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.
What are popular job titles related to Research Python jobs in Pennsylvania? For Research Python jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Pennsylvania look for? The top searched job categories for Research Python jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Research Python jobs? Cities in Pennsylvania with the most Research Python job openings:
Research Python jobs near you
Infographic showing various Research Python job openings in Pennsylvania as of August 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 100% In-person job distribution.

Research Assistant

University of Pittsburgh

Pittsburgh, PA • On-site

$18.75 - $25.75/hr

Full-time

Re-posted 29 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

Apply