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Research Python Jobs in Columbus, IN (NOW HIRING)

Embedded Software Engineer

Greenwood, IN · On-site

$124K - $164K/yr

Do you like to work with cross-functional and remote teams in Research & Development consisting of ... Automating tests with C#, Python, or similar languages. * Testing communication protocols (UART ...

Embedded Software Engineer

Greenwood, IN · On-site +1

$124K - $164K/yr

Do you like to work with cross-functional and remote teams in Research & Development consisting of ... Automating tests with C#, Python, or similar languages. * Testing communication protocols (UART ...

Cybersecurity Defense Analyst - Senior

Columbus, IN · On-site

$93K - $120K/yr

... research efforts. Support the engineering and development of remedial workflows for findings ... Exposure to scripting or automation using languages such as Python, PowerShell, or Bash.

Cybersecurity Defense Analyst - Senior

Columbus, IN · On-site

$93K - $120K/yr

... research efforts. Support the engineering and development of remedial workflows for findings ... Exposure to scripting or automation using languages such as Python, PowerShell, or Bash.

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Research Python information

See Columbus, IN salary details

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How much do research python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for research python in Columbus, IN is $54.52, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $61.92 per hour, depending on experience, location, and employer.

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 cities near Columbus, IN are hiring for Research Python jobs? Cities near Columbus, IN with the most Research Python job openings:

Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visitin

Indiana University

Bloomington, IN • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Indiana University is seeking a Visiting Research Fellow for the Institute for the Study of Contemporary Antisemitism (ISCA) to advance understanding of contemporary antisemitism through computational analysis of social media platforms. The role focuses on digital humanities and social media analytics, particularly analyzing Instagram activities and rhetoric patterns.
Responsibilities:
• Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure
• Lead and expand Instagram analysis project examining campus groups
• Develop new computational research projects on contemporary antisemitism
• Build computational pipelines for social media data collection and analysis
• Supervise graduate and undergraduate research assistants
• Write scientific publications and present findings
Qualifications:
Required:
• MA in computational social science, digital humanities, computer science, or related field
• Python proficiency for data analysis and social media data collection
• Demonstrated experience leading computational research projects with social media analysis
• Strong organizational skills and ability to work as team leader
• Excellent written and oral communication skills
Preferred:
• Background in antisemitism studies
• Experience with R, NLP and deep learning libraries
• High performance computing experience
• Proficiency in German, French, or Arabic
Company:
Indiana University looked for ways to promote innovation while assisting students in building better futures. Founded in 1820, the company is headquartered in Bloomington, USA, with a team of 10001+ employees. The company is currently Late Stage.