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Research Python Jobs in Fitchburg, WI (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Wisconsin

Medical Physics Assistant

Madison, WI · On-site

$70K/yr

Researcher I Job Summary: The Radiation Oncology Physics Section at the University of Wisconsin ... Experience with coding in MATLAB, Python, or other programming languages * Strong communication ...

ApartmentIQ

GTM Engineer

Madison, WI · Remote

... research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company ... Build automations across Sales, Success, and Marketing using a mix of code (Python, APIs) and ...

Medica

Health Plan Developer II

Madison, WI · On-site

$70K - $120K/yr

Research subjects surrounding claims, providers, pricing, benefits, government programs or ... Proficient user of Python and SQL Preferred Qualifications * Relationship oriented communicator who ...

Infleqtion

Staff Quantum Physicist

Madison, WI

... R&D objectives into prioritized work and drive cross-functional delivery. * Develop Python-based tools in Linux environments for experiment control, data analysis, calibration, automation, and ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Enable self-service analytics for R&D and product teams by exposing well- governed, documented data ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Enable self-service analytics for R&D and product teams by exposing well- governed, documented data ...

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Research Python information

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$61

$91

How much do research python jobs pay per hour?

As of Jul 20, 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.

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 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:
Research Python jobs near you

Machine Learning Engineer

Bespoke Labs

Madison, WI • On-site

Full-time

Re-posted 3 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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