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Research Python Jobs in Indianapolis, IN (NOW HIRING)

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Hands-on expertise with Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Hands-on expertise with Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn ...

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Hands-on expertise with Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn ...

Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification ... Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow ...

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Research Python information

See Indianapolis, IN salary details

$12

$56

$82

How much do research python jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for research python in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 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 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 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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What cities near Indianapolis, IN are hiring for Research Python jobs?

Cities near Indianapolis, IN with the most Research Python job openings:

Infographic showing various Research Python job openings in Indianapolis, IN as of August 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person job distribution, with an average salary of $116,551 per year, or $56 per hour.

Computational Research Intern (2027)

Indianapolis, IN

Indiana Biosciences Research Institute Inc
Scientific Research and Development Services • 11 - 50 employees

Internship

Posted 3 days ago

New


Job description

IBRI is poised to transform life sciences-and for millions of people, even life itself.

The Opportunity:

The IBRI is seeking motivated undergraduate or graduate students for our Summer Internship Program. Computational Research Interns will gain hands-on experience in a dynamic research environment, contributing to data-driven projects that support translational science and biomedical innovation.

Program Dates: May 17, 2027 - August 6, 2027

Application Deadline: Applications will be accepted through November 30, 2026. For priority consideration, apply by October 15, 2026.

Schedule: 35 hours per week

Stipend: This internship includes a stipend of $9,650 for the full program, disbursed in bi-weekly installments on or before the 7th and 22nd of each month

Responsibilities:

  • Clean, organize, and analyze biomedical datasets using tools such as Python, R, or MATLAB.
  • Create graphs and summaries that make data easier to understand.
  • Support bioinformatics work with genomic, transcriptomic, proteomic, or imaging data.
  • Assist with modeling, machine learning, or workflow automation projects.
  • Document code, methods, and results clearly for the team.
  • Share progress in meetings and collaborate with experimental scientists.

Qualifications:

  • Enrolled in (or recently graduated from) an Indiana university undergraduate and/or graduate program OR having graduated from an Indiana High School.
  • Degree in a field related computational research and/or bioinformatics.
  • Strong programming skills in Python, R, or similar languages.
  • Familiarity with data analysis, statistics, or bioinformatics tools.
  • Ability to work independently and collaboratively in a research environment.
  • Interest in computational biology/chemistry, biomedical data science, or translational research.
  • Commitment to the full duration of the internship.
  • Excellent organizational and communication skills.

About Us:

The Indiana Biosciences Research Institute (IBRI) is a first-in-class translational medicine institute dedicated to advancing life sciences in the race to eliminate disease and improve human health and life.

By connecting early-stage biotech companies with cutting-edge life science discoveries -and backed by the mission and resources of industry leaders, investors, and philanthropic partners-IBRI is successfully evolving a new, independent model to conquer disease, uniting previously fragmented forces in the quest for cures.

Carefully curating and supporting early-stage companies with investment, talent, and space, IBRI strategically accelerates drug discovery. Our work benefits from the relatively low cost of living and doing business here, allowing more resources to be directed toward science.

Fueled by the same entrepreneurial creativity as the groundbreaking scientific work we support, IBRI's labs advance research across the frontiers of diabetes, metabolic disease, Alzheimer's disease, and rare pediatric diseases. Our ambitious public-private vision cultivates talent while efficiently bridging the gap between research-driven inquiry and profit-driven drug development.

At IBRI, cures are launched on a clear pathway to clinical trials, enabled by the combined resources and experience of our academic and industry partners, without the typical pressure to deliver rapid results for commercialization. IBRI labs pursue breakthroughs that might never happen elsewhere. Breakthroughs are happening here. Our novel financing model ensures that when discoveries are ready for clinical trials, the intellectual property is sold back to industry or spun off, creating a direct stream of revenue.

By every measure, the IBRI model demonstrates a novel approach that delivers rewards. Scientific bench work is nurtured, drug discovery is advanced, workforce development is continuous, investors see returns, and donors see impact. Most importantly, IBRI's structure and portfolio of accomplishments matter to the patients whose lives are improved-or even saved-by this forward-looking approach to life sciences.

IBRI is driven to bring next-generation therapies to market with an understanding of the complex pressures that often bind innovation to economics. After more than a decade, the evidence is clear: IBRI is poised to transform life sciences-and for millions of people, even life itself.

Equal Employment Opportunity:

The IBRI provides equal employment opportunities to all employees and applicants and does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.