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Research Python Jobs in Prairie View, TX (NOW HIRING)

Tamus

Postdoctoral Researcher (CREDIT)

Prairie View, TX · On-site

$104K/yr

Perform research and design novel machine learning algorithms for Big Data analytics. * Develop ... Rich experience in programming such as Python, C/C++, MATLAB, etc. and machine learning software ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

This role requires a unique combination of deep Python expertise, mastery of modern data processing ... Operations Research, or related quantitative field, or equivalent experience. * Quantitative ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

You will participate in the validation of your contributions with senior Research staff and ... Python, OPENCL * Innovative mindset * Exceptional analytical and problem-solving skills * Highly ...

Cgg

Research Geophysicist

Houston, TX · Hybrid

You will participate in the validation of your contributions with senior Research staff and ... Python, OPENCL * Innovative mindset * Exceptional analytical and problem-solving skills * Highly ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

You will participate in the validation of your contributions with senior Research staff and ... Python, OPENCL * Innovative mindset * Exceptional analytical and problem-solving skills * Highly ...

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How much do research python jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for research python in Prairie View, TX is $52.87, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $60.05 per hour, depending on experience, location, and employer.

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.

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.
What job categories do people searching Research Python jobs in Prairie View, TX look for? The top searched job categories for Research Python jobs in Prairie View, TX are:
What cities near Prairie View, TX are hiring for Research Python jobs? Cities near Prairie View, TX with the most Research Python job openings:
Research Python jobs near you
Postdoctoral Associate - Clinical Epidemiology

Postdoctoral Associate - Clinical Epidemiology

Baylor College of Medicine

Houston, TX

Full-time

Posted 10 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

50th of 534 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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