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Research Python Jobs in Tennessee (NOW HIRING)

The Research Engineer will develop and integrate intelligent additive manufacturing systems that ... Proficiency in Python and/or MATLAB for data analysis and algorithm development. * Experience with ...

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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 Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, 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, 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.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

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.
Research Specialist: Global Computing Laboratory - UTK

Research Specialist: Global Computing Laboratory - UTK

The University of Tennessee

Knoxville, TN

$65K/yr

Full-time

Posted 4 days ago


Job description

The Global Computing Laboratory (GCLab) at the University of Tennessee, Knoxville (UTK), conducts research in high-performance computing (HPC), AI-driven workflows, data management, and reproducibility in scientific computing. Our work addresses challenges in scalable data systems, workflow automation, and sustainable AI for exascale and cloud-HPC environments. We collaborate with national laboratories, universities, and industry partners through NSF and DOE-funded projects.

The GCLab is seeking a Research Specialist to independently support and conduct research projects in the field of high-performance computer architecture.  The work assists with the development of a model that tunes HPC applications to maximize workflow performance and robustness even under conditions of system contentions and execution nondeterminism. In addition, this position will serve as a mentor for undergraduate students on the project and submit papers and presentations to refereed journals and conferences.

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

Required Qualifications

Education:

  • B.S. degree in Computer Science, Computational Sciences, or Math

Experience:

  • Proficiency in at least one programming language (C/C++, Python).

  • 1 Year of software development supported by active GitHub entries in an HPC environment

Knowledge, Skills, and Abilities:

  • Graph theory and mathematical methods

  • MPI, OpenMP, C, C++, Python, HPC Systems and tools for their performance measurements

  • Ability to conduct individual research work and to disseminate results independently. 

  • Ability to organize and prioritize own and others workload. 

  • Good teamwork spirit. Excellent oral, interpersonal and written communication skills 

Preferred Qualifications

  • 2 Years of software development supported by active GitHub entries in an HPC environment

Additional Information

  • This position may require occasional travel to conferences or project meetings

  • Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.

Work Location

  • Location: Knoxville, TN

  • Onsite

Compensation and Benefits 

  • UT market range: MR07

  • Anticipated hiring range: $65,000

  • Find more information on the UT Market Range structure here

  • Find more information on UT Benefits here

Application Instructions 

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Cover Letter

If you have questions about this position, please contact:

Prof. Michela Taufer

Dongarra Professor in High Performance Computing

Director, Global Computing Laboratory

Department of Electrical Engineering and Computer Science

University of Tennessee, Knoxville

E-mail: taufer@utk.edu

Model nondeterminism in HPC applications:

  • Conduct literature review.

  • Run computer experiments and optimization; and

  • Perform data check and analysis.

  • Monitor to ensure that project milestones are being met

Reporting:

  • Prepare manuscripts to publish research results in peer-reviewed technical journals and conference proceedings.

  • Prepare reports and give presentations on the project progress regularly. 

  • Provide preliminary results and write discussion of concepts for submission to granting agencies and foundation.

Coordination:

  • Independently coordinate the collaborative research activities with the collaborator at partnering institutions to ensure that project milestones are being achieved.

Mentorship:

  • Mentor undergraduate students while they perform research tasks on the project