ZipRecruiter

Log In

1

Research Python Jobs in Columbus, OH (NOW HIRING)

TriosysIT Inc.

Python Developer

Columbus, OH · On-site

$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

Ohio State University

Research Technician

Columbus, OH

$15.86 - $20.74/hr

The Research Technician assists in the coordination and conduct of research in the Vision ... MATLAB, Python, Java, and/or JavaScript); processes, scores, and assists with the analysis of ...

Ohio State University

Research Lead Technician

Columbus, OH · On-site

$17.50 - $24/hr

Research Lead Technician Department:FAES | Horticulture and Crop Science The successful candidate ... Experience with R or Python programming languages for management and analysis of a variety of data ...

Battelle

Cyber Research Scientist (Early Career)

Columbus, OH · On-site

$112K - $138K/yr

We conduct research and development, manage national laboratories, design and manufacture products ... Basic programming or scripting experience in at least one language, including Python, Bash ...

Battelle

Mid-level Vulnerability Researcher

Columbus, OH · On-site

$110K - $140K/yr

We conduct research and development, manage national laboratories, design and manufacture products ... Ability to code in C and/or Python * Ability to work individually and in small fast paced team ...

next page

Showing results 1-20

All JobsResearch Python JobsResearch Python Jobs in Columbus, OH

Research Python information

See Columbus, OH salary details

$12

$56

$83

How much do research python jobs pay per hour?

As of Jul 11, 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.

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.
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

Python Developer

TriosysIT Inc.

Columbus, OH • On-site

$47 - $64.75/hr

Other

Re-posted 4 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

Apply