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Research Python Jobs in Columbus, OH (NOW HIRING)

TriosysIT Inc.

Python Developer

Columbus, OH

$47 - $64.75/hr

Design, develop and support systems within the financial modeling and research area. * Design and ... Must have skills: - Python, JavaScript, SQL, quantitative finance * Quantitative finance * Python

The Ohio State University

Research Technician 3

Columbus, OH · On-site

$19.28 - $25.19/hr

Experience: 0-2 years of Experience with Python scripting, machine learning, knowledge in solid state physics; experience working and performing research in a lab setting The target hiring range for ...

Accenture

Senior Advanced AI Research Engineer

Columbus, OH · On-site

$100K - $138K/yr

You are a strong Python engineer who can move fluently between an experiment and a well-structured service or SDK module. You write research artefacts and production code in the same week, and you ...

Accenture

Senior Advanced AI Research Engineer

Hartford, OH · On-site

$94K - $129K/yr

You are a strong Python engineer who can move fluently between an experiment and a well-structured service or SDK module. You write research artefacts and production code in the same week, and you ...

NetJets & EJM

Operations Researcher

Columbus, OH · On-site

Master's or PhD in Operations Research, Industrial and Operations Engineering or equivalent engineering field. * Strong programming skills in Python. * Proficiency in mixed-integer linear programming.

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How much do research python jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for research python in Columbus, OH is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 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.

What Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, 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, 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.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

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.
What are popular job titles related to Research Python jobs in Columbus, OH? For Research Python jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Columbus, OH look for? The top searched job categories for Research Python jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Research Python jobs? Cities near Columbus, OH with the most Research Python job openings:
Research Python jobs near you
Infographic showing various Research Python job openings in Columbus, OH as of June 2026, with employment types broken down into 3% As Needed, 79% Full Time, 15% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,774 per year, or $56.6 per hour.

Python Developer

TriosysIT Inc.

Columbus, OH

$47 - $64.75/hr

Other

Posted 10 days ago

Job description

Work Arrangement : Onsite

Location : Wilmington, DE / Columbus, Ohio

Key Responsibilities:

  • Design, develop and support systems within the financial modeling and research area.
  • Design and develop new code and review existing code changes to ensure standard technology development practices are met.
  • Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks.
  • Assist with application development and modifying and/or maintaining applications; Demonstrate knowledge of development tools and languages.
  • Assist other areas of financial research and engineering when defining requirements for systems applications.

Key Requirements and Technology Experience:

  • Must have skills: - Python, JavaScript, SQL, quantitative finance
  • Quantitative finance
  • Python
  • Python web technologies, e.g. Flask, Dash
  • Python data processing technologies, e.g. Pandas, Numpy
  • Solid understanding on web applications, e.g. HTML, CSS, javascript
  • Solid understanding on DB and SQL

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