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Research Python Jobs in Detroit, MI (NOW HIRING)

Arbor Research

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Arbor Research expects all employees to embody these and demonstrate them in our day-to-day work ... Python preferred). • Experience with data lakehouse design patterns, schema management, and ETL ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... A deep understanding of Python software development stacksand ecosystems. * Ability to write clean ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

We are seeking a Lead Research Engineer who will bring expertise in AI and ML and is interested in ... Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy ...

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All JobsResearch Python JobsResearch Python Jobs in Detroit, MI

Research Python information

See Detroit, MI salary details

$13

$58

$85

How much do research python jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for research python in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 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 are popular job titles related to Research Python jobs in Detroit, MI?

For Research Python jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Detroit, MI look for?

The top searched job categories for Research Python jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Research Python jobs?

Cities near Detroit, MI with the most Research Python job openings:

Research Python jobs near you
Infographic showing various Research Python job openings in Detroit, MI as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,709 per year, or $58 per hour.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Ann Arbor, MI • Remote

$80 - $160/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply