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Python Clinical Research Jobs (NOW HIRING)

Zipongo

Clinical Research Scientist

San Francisco, CA · On-site

We are looking for an outstanding Clinical Research Scientist with strong human subjects research ... python, R, or similar tool. (Experience with SQL is a plus.) * Experience in human subjects ...

Zipongo

Clinical Research Scientist

San Francisco, CA · On-site

We are looking for an outstanding Clinical Research Scientist with strong human subjects research ... python, R, or similar tool. (Experience with SQL is a plus.) * Experience in human subjects ...

Brownhealth

$41K - $68K/yr

... and Clinical Research Coordinator.Database maintenance and assistance with data analysis: white ... Minimal coding experience preferred (python or MatLab) and experience with neuroimaging analysis ...

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How much do python clinical research jobs pay per year?

As of Jun 7, 2026, the average yearly pay for python clinical research in the United States is $107,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is the difference between Python Clinical Research vs Clinical Data Analyst?

AspectPython Clinical ResearchClinical Data Analyst
Required SkillsPython programming, data analysis, clinical research knowledgeData analysis, statistical skills, clinical data management
Work EnvironmentResearch settings, clinical trials, biotech companiesHospitals, research institutions, pharmaceutical companies
CertificationsNone specific, programming certifications helpfulCertified Clinical Data Manager (CCDM), other data analysis certifications

Python Clinical Research professionals focus on developing and applying Python scripts for data analysis in clinical trials, while Clinical Data Analysts primarily handle data management and statistical analysis using various tools. Both roles require strong analytical skills, but Python Clinical Research emphasizes programming expertise, whereas Clinical Data Analysts focus more on data interpretation and reporting.

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

To thrive as a Python Clinical Researcher, you need a strong background in biomedical or clinical research methods, statistics, and proficiency in Python programming, often supported by a degree in a relevant scientific field. Familiarity with data analysis tools such as Pandas, NumPy, SciPy, and experience with clinical data management systems or regulatory standards like GCP is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting data and collaborating across multidisciplinary teams. These skills are vital for ensuring accurate data analysis, regulatory compliance, and impactful research outcomes in clinical environments.

What is a Python Clinical Research professional?

A Python Clinical Research professional is someone who applies Python programming skills to various tasks in clinical research, such as data analysis, statistical modeling, and automation of research processes. These professionals typically work with clinical trial data, helping to clean, analyze, and visualize results to support medical studies. Their work often involves collaborating with clinical researchers, statisticians, and healthcare professionals to ensure accurate and efficient analysis of complex datasets. Proficiency in Python, along with an understanding of clinical research protocols and regulatory requirements, is essential for success in this role.

How does a Python Clinical Research professional typically collaborate with clinical and data teams during a research project?

In a Python Clinical Research role, professionals frequently work closely with clinical researchers, data managers, and biostatisticians. They are responsible for developing and maintaining scripts to automate data cleaning, analysis, and visualization tasks, ensuring data integrity and reproducibility. Regular meetings and collaborative reviews are common, as Python specialists translate clinical requirements into code and help interpret the results for non-technical team members. This cross-functional environment fosters continuous learning and provides opportunities to contribute to impactful healthcare research.
Infographic showing various Python Clinical Research job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $107,336 per year, or $51.6 per hour.

Clinical Research Informatician

Tricehealthcare

Los Angeles, CA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title : Clinical Research Informatician Location : Remote Duration : Direct Hire FTE Job Description: **Must Have's:** - Bachelor's Degree in Health Information Management or Health Informatics OR B.S. in a clinical field (nursing, etc.) with certification in Health Informatics OR B.S. in informatics, computer science, statistics, biomedical engineering, artificial intelligence with certification in Health Informatics.

**(Required)** - Master's Degree **(Preferred)** Minimum 2 years' experience in: Clinical Research Clinical Informatics Information Technology and/or Academic Healthcare Settings Experience with: Clinical operations, Health Information Management, or Care Management Clinical standards, coding, definitions, ontologies, dictionaries, and taxonomies Clinical Key Performance Indicators (KPIs) Implementing new technologies in clinical settings Healthcare data curation and documentation in a data warehouse Proficiency in: SQL and Python or similar coding languages Liaising between clinical stakeholders and technical teams Expertise in: Analyzing and optimizing clinical workflows to improve efficiency and patient outcomes Summary: The Clinical Research Informatician is a bridge between clinicians/researchers and data. They blend their knowledge of clinical workflow, terminology, and practices with an understanding of health information technology to advance clinical and translational research towards improved patient care. The Clinical Informatician will play an integral role focused on creating, testing, implementing, and maintaining applications and data for clinical areas.

Responsibilities include acting as a liaison between clinicians/researchers and data stewards, interfacing with stakeholders on informatics software development, maintenance, and operations, and creating streamlined workflows for the exploitation of healthcare data. Minimum Education • Bachelor's Degree In Health Information Management or Health Informatics OR B.S. in clinical field (nursing, etc.) and certification in Health Informatics OR B.S.

in informatics, computer science, statistics, biomedical engineering artificial intelligence AND certification in Health Informatics. Required • Master's Degree preferred Minimum Experience/Accountabilities • Minimum 2 years' experience in clinical research • Minimum 2 years' experience in clinical informatics • Minimum 2 years' experience in information technology and/or in academic healthcare setting • Experience with clinical operations, Health Information Management, or care management • Experience with clinical standards and coding • Experience with clinical definitions, ontologies, dictionaries, and taxonomies • Experience with KPIs as they relate to clinical areas • Experience implementing new technologies in clinical areas • Collect, organize, curate, and document healthcare information within the data warehouse. • Apply experience with clinical information and workflows to the development of informatics tools, applications, analyses, and procedures.

• Develop, modify, test, and implement applications and algorithms for the collection, organization, and analysis of healthcare data. • Assist in the development of presentations, scientific publications, and grant proposals. • Apply insights gained from research to improve patient care or healthcare operations.

• Ability to interact directly with and interpret healthcare data using self-service tools or coding languages, such as SQL and Python • Ability to liaison between clinical stakeholders and Enterprise Data & AI technical team members • Expertise in analyzing and optimizing clinical workflows, leveraging IT to enhance efficiency, accuracy, and patient outcomes through targeted interventions and system improvements. • Collaborate with software vendors and IT service providers to ensure that their products and services are tailored to meet the unique operational needs of the healthcare facility, optimizing performance and compliance. • Other duties as assigned.

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