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Research Python Jobs in Alabama (NOW HIRING)

DESE Research

Full Stack Developer

Huntsville, AL · On-site

... researchers. This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using ...

Teledyne FLIR LLC

Operations Research Analyst

Huntsville, AL · On-site

$97K - $114K/yr

Position Summary Teledyne Brown Engineering is hiring an Operations Research (OR) Analyst to join ... Python and/or R). * Excellent data manipulation and data visualization skills. Preferred Skills and ...

Teledyne

Operations Research Analyst

Huntsville, AL

$97K - $114K/yr

Position Summary Teledyne Brown Engineering is hiring an Operations Research (OR) Analyst to join ... Python and/or R). * Excellent data manipulation and data visualization skills. Preferred Skills and ...

Teledyne

Jr. Operations Research Analyst

Huntsville, AL

$97K - $114K/yr

Position Summary Teledyne Brown Engineering is hiring an Operations Research (OR) Analyst to join ... Python and/or R). * Excellent data manipulation and data visualization skills. Preferred Skills and ...

Tuskegee University

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... e.g., Python, R, Bash). * Experience working with high-performance computing and cloud-based ...

Nou Systems Inc

Research Scientist

Huntsville, AL · On-site

$56K - $108K/yr

We are pleased to announce the opening for a Research Scientist who will join our Biotechnology ... Software development (backend; one or more of Python/C++/C) * Machine learning (or a combination of ...

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Research Python information

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 Alabama?

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

What job categories do people searching Research Python jobs in Alabama look for?

The top searched job categories for Research Python jobs in Alabama are:

What cities in Alabama are hiring for Research Python jobs?

Cities in Alabama with the most Research Python job openings:

Research Python jobs near you

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Huntsville, AL • On-site, Remote

$80 - $150/hr

Part-time

Posted 19 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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