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# Programmer

- **Company:** Collabera
- **Location:** Pasadena, CA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $62,400.0 - $72,800.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Health Informatics, Clinical Data Repository, R (Programming Language), Python (Programming Language), Software Engineering, SQL Databases, Electronic Medical Records, Information Technology, Data Programming
- **Published:** October 27, 2026
- **Apply:** https://www.collabera.com/submit-resume/

## About the Role

o Master's degree in Biostatistics, Epidemiology, Public Health, Data Science, Statistics, Computer Science, Mathematics, or a closely related quantitative field.
o 0-2 years of experience in research programming, data analysis, research informatics, healthcare analytics, or a related field.
o Hands-on proficiency in R, Python, and SQL.
o Experience supporting healthcare, epidemiology, public health, biomedical, clinical, or observational research projects.
o Experience working with healthcare-related data, such as electronic health records, claims data, clinical data, population-health data, or research data warehouses.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable.

Job Requirement
o R
o Python
o SQL

## Description

o Develop, maintain, troubleshoot, and optimize programs using R, Python, and SQL.
o Extract, clean, transform, merge, integrate, and validate data from multiple internal and external sources.
o Build and maintain research datasets and analytic files for healthcare, epidemiology, observational, and public health studies.
o Perform data programming and analysis to support research objectives and study requirements.
o Conduct data-quality assessments and validation checks to ensure accuracy, completeness, and consistency.
o Investigate data discrepancies and resolve issues through root-cause analysis
o Document programming methods, data sources, specifications, assumptions, processes, validation steps, and analytical results.
o Prepare reports, presentations, training materials, and technical documentation for project teams and stakeholders.
o Present programming activities, findings, data limitations, and quality-assurance results to research teams.
o Ensure the accuracy, quality, integrity, and reproducibility of research data and programming deliverables