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Research Python Jobs in Fitchburg, WI (NOW HIRING)

Slipstream Group, Inc.

Senior Researcher

Madison, WI · On-site +1

$75K - $105K/yr

Our Research & Innovation Team is a national leader in understanding the real-world impacts of new ... R, Python, Stata, MATLAB) * Building science experience - this may include building audits ...

SLIPSTREAM GROUP INC

Senior Researcher

Madison, WI · On-site

Our Research & Innovation Team is a national leader in understanding the real-world impacts of new ... R, Python, Stata, MATLAB) * Building science experience - this may include building audits ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will leverage SQL, Python, dashboarding and GIS tools to build scalable data solutions, create engaging visualizations and maps, and enable efficient data access for research ...

University of Wisconsin

Data Scientist II

Madison, WI · On-site

$72 - $88/hr

The Data Scientist II will leverage SQL, Python, dashboarding and GIS tools to build scalable data solutions, create engaging visualizations and maps, and enable efficient data access for research ...

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All JobsResearch Python JobsResearch Python Jobs in Fitchburg, WI

Research Python information

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$13

$61

$91

How much do research python jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for research python in Fitchburg, WI is $61.82, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $70.24 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 are popular job titles related to Research Python jobs in Fitchburg, WI?

For Research Python jobs in Fitchburg, WI, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Fitchburg, WI look for?

The top searched job categories for Research Python jobs in Fitchburg, WI are:

What cities near Fitchburg, WI are hiring for Research Python jobs?

Cities near Fitchburg, WI with the most Research Python job openings:

Research Python jobs near you
Infographic showing various Research Python job openings in Fitchburg, WI as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $128,585 per year, or $61.8 per hour.

Research Software Engineer

The Morgridge Institute for Research

Madison, WI

$206K/yr

Full-time

Re-posted 27 days ago

Job description

Description

The Research Software Engineer (RSE) will work to bring modern software engineering techniques and approaches to research projects at the institute as part of long-running engagements and collaborations between scientists. At Morgridge, the RSE will sit at the nexus of exciting research, large-scale computing, and national cyberinfrastructure projects. Whether it's using agentic AI to enhance a codebase, making data transfers more robust, or making workloads run more effectively across thousands of cores, the RSE will have a diversity of challenges and help advance Morgridge's goals of Fearless Science. The initial projects will focus on development of the Pelican Platform, which is used for a distributed data delivery and transfer system across the US.

The position will work in the Morgridge Research Computing theme and with the Center for High Throughput Computing (CHTC) at the UW-Madison; these groups are led by PIs who lead cyberinfrastructure projects such as the Partnership to Advance Throughput Computing (PATh), a major NSF investment in the vision that high throughput computing can make an outsized impact on science, and the Pelican Platform. Combined, the teams have about 25 staff members, operate 25,000 computing cores and over 300 GPUs, and interacts with over 100 external universities - ensuring there are always interesting challenges in distributed systems.


The team heavily leverages agentic AI as part of the development workflows: understanding of system fundamentals (thinking through components may interact, potential failure points, designing testing regimes) and reviewing code changes are more important than writing code in a specific language.


Primary Responsibilities

  • Interact with scientific group leaders and the Research Computing leads to identify pressing software engineering challenges and scoping / architecting / implementing / supporting a program of work to solve them.
  • Develop distributed systems code bases (typically languages include Go but C++ and Python are also used) to make them more robust or implement new functionality.
  • Assist the operations team in debugging distributed systems and to deploy newly-developed features.
  • As aligned with experience, lead student software engineering interns on specific semester-long projects.
  • Provide assistance with other projects, as necessary to support the overall mission and goals of the Morgridge Institute for Research

Requirements

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Some of the duties can be learned through on-the-job training. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the primary duties.


Education and Experience:

  • A Bachelor's degree in Computer Science, Mathematics, Physics, or biological sciences; Master's degree preferred.
  • 1+ years of working with software engineering, preferably in a research environment; 3+ years preferred.
  • Programming experience in either Go, Python or C++; Go preferred.
  • Experience in utilizing large-scale computing environments such as batch or cloud is preferred.

Knowledge, Skills and Abilities Required:

  • Strong systems design and programming skills.
  • Experience in writing design documents as part of feature design
  • Ability to keep projects organized in a project management / issuer tracker system such as JIRA.
  • Familiarity of software development environments like GitHub and modern CI/CD tooling such as GitHub Actions or Jenkins.
  • Knowledge of working with the following technologies and environments is desired: HTCondor, Containers/Kubernetes, Pelican, or federally-funded cyberinfrastructure.

Working Conditions and Physical Effort:

  • Work is normally performed in a typical office environment.
  • Day-to-day, no or very limited physical effort is required.
  • No or very limited exposure to physical risk.


Apply