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Postdoc Python information

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

Are Postdoc Python in demand?

Postdoc positions requiring Python skills are in demand in research, data science, and academia, especially for roles involving data analysis, machine learning, and scientific computing. Employers value proficiency in Python, along with experience in libraries like NumPy, pandas, and TensorFlow, making these roles competitive and often project-based or grant-funded.

What are the key skills and qualifications needed to thrive as a postdoc Python?

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What are popular job titles related to Postdoc Python jobs in Tennessee? For Postdoc Python jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Postdoc Python jobs in Tennessee look for? The top searched job categories for Postdoc Python jobs in Tennessee are:
Postdoc Python jobs near you
Infographic showing various Postdoc Python job openings in Tennessee as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Postdoctoral Scholar-Genetics, Genomics, and Informatics

University of Tennessee

Memphis, TN

Full-time

Re-posted 13 days ago

Job description

Postdoctoral Scholar

This is a grant funded position funded until January 1, 2027.

Job Summary/Essential Job Functions:

The Department of Genetics, Genomics, and Informatics at the University of Tennessee Health Science Center is seeking a postdoctoral scholar. This position involves rodent handling and in vitro cell-based assays. It requires knowledge of rodent colony management and behavior, preparation of primary cell cultures, knowledge of basic molecular biology techniques, and a background in statistical analysis, and familiarity with statistical packages (e.g., JMP, Prism, R, or Python.) The position involves working independently and supervising graduate students and technical staff. It will require the ability to analyze and summarize results and present research findings in the form of weekly lab meetings, scientific conference posters and presentations, and manuscript preparation.

Responsibilities:

Performs and/or supervises trainee in vitro cell-based assays in primary neuronal and astrocyte cultures. Specific duties include culturing primary cells, transduction using viral vectors, flow cytometry, and sea horse assays. Assists with nucleic acid extractions, protein extractions, and other basic molecular biology as needed. Performs statistical analysis and quality control of data generated from molecular and behavioral assays. Prepares results for publication and presents data at internal and external meetings. Prepares weekly reports for lab meetings. Performs and/or supervises all aspects of rodent studies, including colony maintenance, estrus cycle monitoring, timed matings, embryo collection, blood collection, tissue collections, perfusions, injections, and performing multiple different behavioral phenotyping assays. May also perform stereotaxic injections to deliver viral vectors to select rodent brain regions.

Qualifications:

Minimum requirements:

Doctoral degree.

Knowledge, skills, and abilities:

  • Meticulous record-keeping skills.
  • Attention to detail and basic computer skills.
  • Basic knowledge of statistics and statistical software.
  • Excellent communication and presentation skills.
  • Ability to work as part of a team and follow directions.
  • Ability to plan and complete experiments promptly and around the schedule of important collaborators and institutional cores.

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