1

Research Python Jobs in Minneapolis, MN (NOW HIRING)

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Research Engineer

Eagan, MN ยท On-site

$88 - $164/hr

## Research EngineerApplyremote type: Hybridlocations: United States of America, Eagan, Minnesota ... Experience and understanding of Python software development stacks and ecosystems, ideally also ...

We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in ... Experience and understanding of Python software development stacks and ecosystems, ideally also ...

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Familiarity with the Python data science stack through exposure to libraries such asNumpy,Scipy ...

Lead Research Engineer

Eagan, MN ยท On-site

$104K - $137K/yr

Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch. * Take pride in writing clean, reusable ...

next page

Showing results 1-20

Research Python information

See Minneapolis, MN salary details

$13

$61

$90

How much do research python jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for research python in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 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 Minneapolis, MN are hiring for Research Python jobs?

Cities near Minneapolis, MN with the most Research Python job openings:

Infographic showing various Research Python job openings in Minneapolis, MN 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 $127,273 per year, or $61.2 per hour.

Research Software Engineer -- R&D, Data Science & Machine Learning

Boon Logic Inc.

Minneapolis, MN โ€ข On-site

$95K - $125K/yr

Other

Posted 19 days ago


Job description

Boon Logic is hiring a Research Software Engineer to support advanced R&D and rapid prototyping initiatives alongside our CTO and senior technical leadership.

This role is ideal for a software engineer who enjoys solving difficult technical problems, building prototypes quickly, and working in collaborative technical environments. You''ll spend more time in algorithm discussions and whiteboard sessions than in deployment pipelines or enterprise software maintenance.

This is an onsite role in Minneapolis working directly with a small, technical team. Due to program requirements, this role requires U.S. citizenship and eligibility to work in a NOFORN (No Foreign Nationals) environment.

Compensation: $95,000โ€“$125,000, based on experience

What You''ll Be Doing

  • Rapid prototyping and exploratory software development
  • Collaborating directly with technical leadership on advanced concepts and algorithm development
  • Participating in frequent whiteboard and technical design sessions
  • Building research-oriented tools and proof-of-concept implementations
  • Working primarily in Python and/or C++ in Linux environments
  • Contributing to technical R&D efforts involving data analysis, machine learning, and high-performance computation

Role Breakdown
75% Research and Prototyping | 25% Development | 0% Deployment / DevOps

Requirements

  • B.S. or B.A. in Computer Science, Mathematics, Engineering, or related technical field
  • 3โ€“5 years of industry experience in software engineering or related R&D work
  • Strong proficiency in either Python or C++
  • Strong mathematical and analytical problem-solving skills
  • Experience with rapid prototyping
  • Linux and Git proficiency
  • Must be located in the Greater Minneapolis area

Nice to Have

  • Exposure to machine learning, signal processing, or scientific computing
  • Experience in technical or research-driven environments
  • Familiarity with high-performance or low-latency systems
  • Comfortable operating in fast-moving, ambiguous R&D environment
  • Familiarity with Mathematica a plus

We''re looking for engineers who are curious, technically sharp, collaborative, and capable of turning concepts into working prototypes quickly.