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Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$42.70K - $58K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45.30K - $61.50K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

The Pennsylvania State University

The postdoctoral scholar will combine foundation AI modeling and differentiable modeling (a genre ... Proficiency in programming languages, such as Python or Fortran. * Experiences with machine ...

Duke University

Postdoctoral Associate

Durham, NC

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 535522 Work type: Research Faculty ... MATLAB, Python, C++, or equivalent high-performance computing environments. Experience developing ...

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How much do postdoc python jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for postdoc python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

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What cities are hiring for Postdoc Python jobs? Cities with the most Postdoc Python job openings:
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What job categories do people searching Postdoc Python jobs look for? The top searched job categories for Postdoc Python jobs are:
Postdoc Python jobs near you
Infographic showing various Postdoc Python job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 12% Part Time, and 7% Contract. Highlights an 100% Physical job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Postdoctoral Associate - Clinical Epidemiology

Postdoctoral Associate - Clinical Epidemiology

Baylor College of Medicine

Houston, TX

Full-time

Posted 2 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

49th of 530 rated colleges and universities

Job description

Summary

The Department of Pediatrics is seeking a Postdoctoral Associate to use data science tools and population health techniques to improve outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Supports the construction and maintenance of data pipelines. Maintains and further develops the existing data pipeline used for Monitoring & Evaluation (M&E) of the Global HOPE initiative, ensuring data integrity across partner sites in Sub-Saharan Africa.
  • Designs and builds interactive data dashboards to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research.
  • Designs and develops statistical analysis for research. Analyzes programmatic data to support the Global HOPE mission of training pediatric hematologist-oncologists and building treatment capacity in partner countries.
  • Assists in interpretation of data.
  • Investigates treatment-associated toxicities using clinical data to develop predictive risk models.
  • Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations.
  • Leads production of scientific abstracts and manuscripts for scientific community.
  • Contributes to grant writing and study development.
  • Leads the writing and prepares manuscripts for peer-reviewed journals and present findings at national and international conferences.
  • Provides technical guidance to junior data analysts or research coordinators, but primarily an individual contributor role.
  • Performs other job-duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD in Epidemiology, Biostatistics, Data Science, Bioinformatics, or a related field; OR an MD with a strong quantitative background/Master’s degree in a quantitative field.
  • Experience developing data dashboards (e.g., Shiny, Dash, Tableau, or PowerBI).
  • Strong background in survival analysis and regression modeling.
  • Experience with data engineering or maintaining data pipelines (ETL processes).
  • Experience in Global Health or working with international datasets (specifically Sub-Saharan Africa).
  • Prior experience with clinical or healthcare data (EHR, registries).
  • High proficiency in coding with R or Python for data cleaning, analysis, and visualization.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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