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Clinical R Programmer Jobs in Albuquerque, NM (NOW HIRING)

... R or SAS; experience in electronic medical record database, database software such as SQL, data ... Knowledge of SAS programming and/or other statistical software. * Knowledge of scientific reporting ...

Clinical R Programmer information

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$24

$62

$99

How much do clinical r programmer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for clinical r programmer in Albuquerque, NM is $62.79, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 and $71.06 per hour, depending on experience, location, and employer.

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

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 are some 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 are Clinical R Programmers?

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 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 Albuquerque, NM? For Clinical R Programmer jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Albuquerque, NM look for? The top searched job categories for Clinical R Programmer jobs in Albuquerque, NM are:
Infographic showing various Clinical R Programmer job openings in Albuquerque, NM as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,598 per year, or $62.8 per hour.
Biostatistician

Full-time

Medical, Dental, Vision, Life

Posted 22 days ago


University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

63rd of 530 rated colleges and universities


Job description

Biostatistician
Requisition ID
req35324
Working Title
Biostatistician
Position Grade
15
Position Summary
The Division of Epidemiology, Biostatistics, and Preventive Medicine, within the Department of Internal Medicine, is seeking a Biostatistician to support the design and analysis of research studies in UNMHSC. The successful candidate will have expertise in data management and analysis using software package such as R or SAS; experience in electronic medical record database, database software such as SQL, data quality control, and design and analysis of clinical research studies. The Division of Epidemiology, Biostatistics and Preventive Medicine has a robust research portfolio that includes research studies based on randomized controlled trials, observational studies, and large administrative databases to address a broad variety of health services and other research questions. The Division maintains close ties to many UNM Health Sciences Center departments, centers, and colleges. There extensive opportunities for carrying out research in collaboration with other HSC programs and in areas including cardiology, neuroscience, nephrology, environmental health, and health service research.
Duties and Responsibilities
1. Designs, analyzes, implements, and reports findings on targeted statistical research studies; provides consultation to investigators and researchers on experimental design and statistical research approaches, requirements, and scientific standards to advance medical knowledge and improve research in public health.
2. Works with investigators to formalize analysis plans and reporting specifications; advises as to choice of statistical analysis strategies, reliability of measurements and identifiability of models, and interpretation and presentation of statistical results.
3. Builds and sustains collaborative relationships with individuals in different disciplines and serves as subject-matter expert for research teams, internal and external committees, and other constituencies and collaborators.
4. Assists in the preparation of clinical trial documents and reports, protocols, investigator brochures, scientific abstracts, peer-reviewed manuscripts, and responses to requests from regulatory agencies, local Institutional Review Board, and other health authorities.
5. Reviews and analyzes safety reporting, biomarker analyses and other aspects of clinical trial monitoring.
6. Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry.
7. Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data; advises and assists in the development of inferences and conclusions, as appropriate.
8. Develops enhancements to statistical software, as appropriate, by programming new techniques; maintains knowledge of current and emerging trends in statistical analysis methodology.
9. Oversees and coordinates the work of statistical support staff, data entry staff, and/or students, as appropriate to the position, on a project, site, or operational basis.
10. Performs miscellaneous job-related duties as assigned.
Knowledge, Skills and Abilities Required
  • Knowledge of scientific approach and methodologies.
  • Knowledge and understanding of the principles, concepts, methods, and standards of statistical research.
  • Ability to apply a range of advanced statistical techniques in support of scientific research studies and/or experiments.
  • Ability to process computer data and to format and generate reports.
  • Ability to consult with scientific investigators, interpret research requirements, and determine statistical analysis strategies.
  • Ability to plan, create, program and manage complex statistical computer databases.
  • Ability to analyze, interpret, and draw conclusions from complex statistical information.
  • Knowledge of current and emerging trends in advanced statistical analysis for scientific application.
  • Knowledge of SAS programming and/or other statistical software.
  • Knowledge of scientific reporting and manuscript preparation requirements and standards.
  • Ability to work in a team environment to design, analyze, and report on research projects.
  • Strong analytical communication, critical thinking and problem solving skills.
  • Ability to provide technical guidance and leadership to professional personnel in area of expertise.
  • Excellent time management skills and ability to prioritize projects.
  • In-depth knowledge and understanding of probability and medical statistics theory.
  • Knowledge of data management principles and regulatory requirements for clinical trials and medical research.
  • Strong focus and quality and timely delivery of work.

See the Position Description for additional information.
Conditions of Employment
  • Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.

Minimum Qualifications
Master's degree; at least 3 years of experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
Preferred Qualifications
  • MS in statistics, applied statistics or closelyrelated field
  • Experience performing statistical analysis ofbiomedical and health data
  • Experience using R, SAS in statistical data management and analysis
  • Experience writing, testing, implementing, and documenting statistical computer software programs
  • Experience using large databases, including EHR/EMR, data processing, and creating analytic datasets suitable for analysis
  • Ability to prioritize work and manage time to complete multiple simultaneous projects
  • Ability to effectively communicate, orally and in writing, analytic results to clinicians and the study team.
  • Knowledge and experience in informatics techniques (i.e. machine learning)

Additional Requirements
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
IM Epi (852Q)
Employment Type
Staff
Staff Type
Regular - Full-Time
Term End Date
Status
Exempt
Pay
Monthly: $5,844.80 - $8,366.80
Benefits Eligible
This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.
ERB Statement
As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.
Background Check Required
Yes
For Best Consideration Date
1/12/2026
Eligible for Remote Work
Yes
Eligible for Remote Work Statement
The division will consider a hybrid schedule upon the successful completion of the probationary period.
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
A complete application includes:
1) Cover Letter detailing your directly related experience
2) Resume
3) Professional references, preferably from supervisors
4) Writing sample of a peer-reviewed publication co-authored by the applicant that demonstrates a higher level of data analysis
Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.

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