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Postdoc Python Jobs in Tampa, FL (NOW HIRING)

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$12

$55

$81

How much do postdoc python jobs pay per hour?

As of May 29, 2026, the average hourly pay for postdoc python in Tampa, FL is $55.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $62.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoc Python, and why are they important?

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 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.

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 job categories do people searching Postdoc Python jobs in Tampa, FL look for? The top searched job categories for Postdoc Python jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Postdoc Python jobs? Cities near Tampa, FL with the most Postdoc Python job openings:
Postdoc Python jobs near you
Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$28.50 - $34.21/hr

Full-time

Posted 20 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

71st of 864 rated healthcare providers

Job description

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics
Position Overview
A postdoctoral fellow position is available for a highly motivated scientist with expertise in bioinformatics, chemoproteomics, and functional genomics. The successful candidate will participate in research projects leveraging large-scale chemoproteomics datasets, integrating these with public cancer genomics resources, and mining CRISPR screening data to advance cancer biology and therapeutic discovery.
Key Responsibilities:
  • Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
  • Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
  • Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
  • Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
  • Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
  • Mentor junior researchers and contribute to grant writing and manuscript preparation

Required Qualifications:
  • PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
  • Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
  • Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
  • Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
  • Strong understanding of statistics and machine learning concepts as applied to biological data
  • Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
  • Ability to work independently and collaboratively in a multidisciplinary research environment

Preferred Qualifications
• Experience with drug development and/or chemistry
• Familiarity with AI/ML approaches for biological data analysis.
• Prior experience in cancer research or translational bioinformatics
Application Instructions:
Interested applicants should submit a CV, a cover letter outlining research experience and interests, and contact information for three references. Applications will be reviewed on a rolling basis.

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