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Research Python Jobs in Charlotte, NC (NOW HIRING)

micro1 AI

Senior Scientific Reviewer - Physics

Concord, NC · On-site +1

$80 - $150/hr

... research scientist. * Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links. * Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for ...

micro1 AI

AI Training Specialist - Physics

Charlotte, NC · On-site +1

$80 - $150/hr

... research scientist. * Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links. * Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for ...

micro1 AI

AI Training Specialist - Physics

Concord, NC · On-site +1

$80 - $150/hr

... research scientist. * Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links. * Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for ...

micro1 AI

Physics Modeling Expert - Remote

Concord, NC · Remote

$80 - $140/hr

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 ...

micro1 AI

Physics Modeling Expert - Remote

Charlotte, NC · Remote

$80 - $140/hr

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 ...

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Showing results 21-40

All JobsResearch Python JobsResearch Python Jobs in Charlotte, NC

Research Python information

See Charlotte, NC salary details

$12

$57

$84

How much do research python jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for research python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 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 Charlotte, NC?

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

What job categories do people searching Research Python jobs in Charlotte, NC look for?

The top searched job categories for Research Python jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Research Python jobs?

Cities near Charlotte, NC with the most Research Python job openings:

Research Python jobs near you

Senior Full Stack Software Engineer (Python, React, SQL Server) & Tech Analyst

Motion Recruitment Partners, LLC

Charlotte, NC • On-site

Other

Posted 13 days ago

Job description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
  • 5+ years of software development experience.
  • Strong experience with Microsoft SQL Server development and database design.
  • Strong proficiency in Python development.
  • Experience developing modern web applications using React.
  • Experience designing and consuming RESTful APIs.
  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or equivalent experience.
  • 3-7 years of experience in business analysis, product analysis, product management, or similar roles.
  • Strong requirements gathering and business process analysis skills.
  • Experience creating user stories, process flows, and functional requirements.
  • Strong analytical and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Strong understanding of software engineering principles, design patterns, and best practices.
  • Experience working within Agile development environments.
  • Strong analytical, problem-solving, and communication skills.
  • Python
  • FastAPI, Flask, or comparable frameworks
  • REST API development
  • Microservices architecture
  • React
  • TypeScript/JavaScript
  • HTML5/CSS3
  • Modern UI component libraries
  • Microsoft SQL Server
  • T-SQL
  • Database design and modeling
  • Query optimization and performance tuning
  • Git
  • CI/CD pipelines
  • Automated testing
  • Containerization technologies
Desired Skills & Experience
  • Experience with cloud platforms such as Azure or AWS.
  • Experience with CI/CD tools and DevOps practices.
  • Experience supporting software development teams.
  • Familiarity with SQL and data analysis.
  • Experience with data platforms, analytics, and reporting solutions.
  • Experience with container technologies such as Docker and Kubernetes.
  • Experience with data engineering, ETL/ELT processes, and data integration patterns.
  • Familiarity with Git, Azure DevOps, GitHub, or equivalent source control platforms.
  • Experience implementing authentication and authorization frameworks.
  • Exposure to AI/ML solutions and modern data platforms.
  • Experience supporting enterprise-scale applications.

What You Will Be Doing
  • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
  • Design, develop, test, and maintain full-stack applications using Python and React.
  • Build scalable and secure REST APIs, microservices, and backend services.
  • Develop responsive and intuitive user interfaces using React and modern JavaScript/TypeScript frameworks.
  • Participate in technical design reviews and architectural discussions.
  • Design and optimize Microsoft SQL Server databases, schemas, stored procedures, views, and queries.
  • Analyze and improve application performance through database optimization and tuning.
  • Develop and maintain data models that support business and reporting requirements.
  • Ensure data integrity, security, and compliance with enterprise standards.
  • Conduct ongoing engagement with business stakeholders to understand goals, pain points, and evolving needs.
  • Identify opportunities for automation, operational improvement, data-driven decision-making, and process optimization.
  • Research emerging business requirements and technology capabilities.
  • Analyze existing solutions and recommend enhancements that improve efficiency, usability, and business outcomes.
  • Facilitate discovery workshops, interviews, and requirements-gathering sessions.
  • Elicit, document, and validate business and functional requirements.
  • Translate business needs into user stories, acceptance criteria, process flows, and solution requirements.
  • Develop and maintain business process documentation and workflow diagrams.
  • Analyze current-state and future-state processes to identify gaps and opportunities.
  • Ensure alignment between business objectives and technical delivery.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Participate in Agile ceremonies, sprint planning, and release activities.
  • Support CI/CD pipelines and automated deployment processes.
  • Contribute to solution documentation, operational readiness, and production support activities.
  • Develop automated testing and monitoring capabilities.
  • Troubleshoot production issues and implement sustainable solutions.
  • Follow secure coding practices and software development standards.
  • Continuously identify opportunities for automation and process improvement.

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