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Clinical R Programmer Jobs in Anaheim, CA (NOW HIRING)

Carbon Health

R-112223 Medical Assistant

Los Alamitos, CA · On-site

$18.75 - $24/hr

About The Role The R-112223 Medical Assistant is an hourly, full-time position within our Medical ... clinical teams, engineers, and designers who work side-by-side to deliver innovation like our hands ...

UHS

Manager of Education

Corona, CA · On-site

$56.37 - $84.55/hr

... R e p o r t i n g to Director of Clinical Operations (DCOP), the Manager of Education i s ... Diverse programming to expand your experience. * HealthStream online learning catalogue with plenty ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Anaheim, CA

Clinical R Programmer information

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$25

$67

$107

How much do clinical r programmer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for clinical r programmer in Anaheim, CA is $67.81, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $76.78 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a Clinical R programmer?

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What is a Clinical R programmer?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What are common challenges faced by Clinical R programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What are popular job titles related to Clinical R Programmer jobs in Anaheim, CA? For Clinical R Programmer jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Anaheim, CA look for? The top searched job categories for Clinical R Programmer jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Clinical R Programmer jobs? Cities near Anaheim, CA with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Anaheim, CA as of June 2026, with employment types broken down into 9% As Needed, 17% Full Time, 70% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $141,051 per year, or $67.8 per hour.

Research Programmer II

University of Southern California

Los Angeles, CA • On-site

Full-time

Re-posted 6 days ago

University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

98th of 618 rated colleges and universities

Job description

The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university a great place to work.
About CSI-Cancer
The USC Michelson Center Convergent Science Institute in Cancer (CSI-Cancer) brings together engineers, data scientists, biologists and clinicians to tackle fundamental and translational problems in cancer-from mechanistic modeling and physical dynamics of metastasis to high-content single cell data and advanced machine learning. Our vision is to integrate patient, model system and high-dimensional data to achieve a mechanistic understanding of cancer dynamics across scales. We are studying circulating tumor cells (CTCs) and other analytes in liquid biopsies (blood, bone marrow aspirates, and other liquids) of cancer patients as an approach to complement cancer care. Our data science driven single-cell multi-omic approach allows us to look at the morphology, proteome, and genome of these CTCs individually.
Position Overview
We are seeking a highly motivated Research Programmer II with a strong background in computer science (CS), biomedical engineering (BME), who is comfortable working at the interface of software and hardware with primary emphasis on software and a secondary emphasis on hardware. The successful candidate will join a convergent research team focused on early detection, liquid biopsy, rare-cell detection assays, and the development of novel computational and instrumentation platforms for cancer research. This position is ideal for candidates who want to apply computational science and data engineering expertise to accelerate discoveries in cancer dynamics, trajectory prediction, and treatment response modeling. They will develop and maintain data analysis methods and process pipelines to support the research, data, and analytic infrastructures of the institute (Home - Convergent Science Institute in Cancer).
Key Responsibilities
  • Develop and document robust computational workflows, testing procedures, and production pipelines that support CSI-Cancer's high-content single-cell, liquid biopsy, imaging, and multi-omics research initiatives.
  • Supports continuous improvements by maintaining currency with new technologies and leveraging the latest industry knowledge to continually develop skills, knowledge, and abilities.
  • Serve as a technical resource to researchers, assessing computational requirements and aligning advanced computing solutions (HPC, cloud, containerized environments) with cancer research objectives in mathematical oncology, disease modeling, and translational science.
  • Support collaborative research efforts at institutional, regional, and national levels to advance CSI-Cancer's strategic priorities in cancer detection, trajectory forecasting, and precision oncology.
  • Participate in research projects by contributing to study design, developing prototype computational implementations, and supporting the preparation of technical reports, manuscripts, and grant proposals.
  • Design, deliver, and maintain training programs and workshops that enable researchers and academic programs to optimally leverage high-performance and cloud computing for cancer research applications.
  • Partner with interdisciplinary teams of engineers, computational scientists, biologists, and clinicians to implement scalable, reproducible, and compliant research computing solutions while continuously improving processes and technical standards.
  • Utilize creativity and innovation to solve complex computational challenges arising from cutting-edge cancer research, and identify opportunities to adapt methods and results to novel scientific applications and future research directions.
  • Promote a collaborative and inclusive research environment consistent with USC's Code of Ethics.
  • May supervise junior staff and mentor trainees.
  • Perform other related duties as assigned or requested. The university reserves the right to add or change duties at any time.

Preferred Qualifications
  • Deep understanding of HPC, high-performance networking, cloud computing, container technologies (e.g., Docker, Singularity), and scalable research infrastructure.
  • Experience supporting computational research in a higher education or research institute setting, particularly for data-intensive scientific projects.
  • Ability to translate complex scientific research needs - including cancer biology, multi-omics, imaging, and clinical data analysis - into effective computational and analytical solutions.
  • Proficiency in database systems, version control (e.g., Git), workflow management, and large-scale application performance engineering and optimization.
  • Experience developing and delivering user training, workshops, or educational programs.

Minimum Qualifications
  • A Master's degree in Computer Science, Biomedical Engineering, or a closely related discipline.
  • Strong software development skills (e.g., Python, C++/C, R, Java, or comparable) and familiarity with data science/machine learning frameworks.
  • Experience with large, complex biological or clinical datasets.
  • Demonstrated understanding of advanced computational methods such as contrastive deep learning. Knowledge of current data modeling tools and various machine learning techniques and algorithms (e.g., clustering, decision-tree learning, artificial neural networks).
  • Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, PostgreSQL) databases. Knowledge of statistical concepts and techniques (e.g., distributions, statistical testing, regression).
  • Demonstrated knowledge of the research process, including proposal development, data lifecycle management, reproducible workflows, and compliance with federal and sponsor regulations.
  • Advanced expertise in Linux/Unix systems and experience building, deploying, and maintaining open-source software in high-performance computing (HPC) environments.
  • Experience with parallel and accelerated computing frameworks (e.g., OpenMP, MPI) and familiarity with GPUs and large-scale storage systems.
  • Strong communication skills, including the ability to document systems and explain technical concepts clearly to interdisciplinary audiences.
  • Proven project management and interpersonal skills, with the ability to prioritize multiple initiatives and collaborate effectively with researchers, engineers, and IT professionals.

Appointment Terms
  • Full-time appointment at USC.
  • This position is not eligible for remote work.
  • This is a grant-funded position.

Salary range:
The salary range for this position is $108,000 - $124,000 annually. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer alignment, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
To support the well-being of our faculty and staff, USC provides benefits-eligible employees with a broad range of perks to help protect their and their dependents' health, wealth, and future. These benefits are available as part of the overall compensation and total rewards package. You can learn more about USC's comprehensive benefits here.
Required Documents and Additional Information:
  • Resume and cover letter required (may be uploaded as one file). Please do not submit your application without these documents.
  • Job openings are posted for a minimum of (5) five business days. This job may be removed from posting boards and filled any time after the minimum posting period has ended, so please apply on the same business day if interested.

Minimum Education: Master's degree
Addtional Education Requirements Combined experience/education as substitute for minimum education
Minimum Experience: 3 years
Minimum Skills: Relevant work experience to provide strong technical knowledge of programming and analysis as well as senior or lead experience. Demonstrated ability to stand in for researchers as circumstances require. Demonstrated creativity and innovation in solving conceptual programming problems.
Preferred Experience: 5 years
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
https://wd5.myworkday.com/usc/d/inst/1$9925/9925$149726.htmld

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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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