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Clinical R Programmer Jobs in Ravenel, SC (NOW HIRING)

micro1 AI

Director of Biostatistics

North Charleston, SC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

micro1 AI

Director of Biostatistics

Charleston, SC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

KidsCare Home Health

Pediatric Physical Therapist

SC · On-site

R.E. culture . In return we offer a full benefits package to include health, dental, vision ... Provide clinical treatment to patients including screenings, evaluations, direct treatment, and ...

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Showing results 21-40

All JobsClinical R Programmer JobsClinical R Programmer Jobs in Ravenel, SC

Clinical R Programmer information

See Ravenel, SC salary details

$25

$65

$103

How much do clinical r programmer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for clinical r programmer in Ravenel, SC is $65.46, according to ZipRecruiter salary data. Most workers in this role earn between $54.18 and $74.09 per hour, depending on experience, location, and employer.

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 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 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 cities near Ravenel, SC are hiring for Clinical R Programmer jobs?

Cities near Ravenel, SC with the most Clinical R Programmer job openings:

Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Ravenel, SC as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $136,165 per year, or $65.5 per hour.

UNIV - Open Rank Faculty - Department of Radiation Medicine

Charleston, SC • On-site

MUSC Health & Medical University of SC
Hospitality Services • 10K+ employees
Learn more about MUSC Health & Medical University of SCexternal

Full-time

Re-posted 14 days ago

MUSC Health rating

6.9

Company rating: 6.9 out of 10

Based on 203 frontline employees who took The Breakroom Quiz

Job description

Job Description Summary
Bioinformatics Lead, ctDNA Sequencing & Translational Genomics
Location: Charleston, SC, Medical University of South Carolina (MUSC), (hybrid/remote may be considered for exceptional candidates)
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Faculty
Cost Center
CC001058 COM Radiation Oncology
Pay Rate Type
Salary
Pay Grade
University-00
Pay Range
0.00 - 0.00 - 0.000
Scheduled Weekly Hours
40
Work Shift
Job Description
Position Summary
We are recruiting a Bioinformatics Lead to build and continuously improve the computational analysis platform supporting high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research. This role will support NGS data processing, quality control frameworks, error suppression, variant detection, and reporting across tumor-informed and tumor-naïve workflows. The successful candidate will work closely with wet-lab scientists and clinicians to enable rapid iteration, reproducibility, and scalability, with an emphasis on ultra-low allele fraction detection and rigorous translational study support.
Key Responsibilities
Pipeline development and analysis support
  • Develop and maintain computational workflows supporting ctDNA-focused targeted sequencing analyses.
  • Implement robust quality control metrics, acceptance criteria, and failure triage processes for high-depth sequencing runs.
  • Generate analysis outputs and summaries to support translational studies, manuscripts, and grant applications.
  • Contribute to continuous improvement of analytic performance (sensitivity/specificity) for ultra-low VAF detection and MRD-related applications.

Translational collaboration
  • Partner with wet-lab and clinical teams to align assay design, sample processing, and analytic outputs; participate in troubleshooting and iterative optimization.
  • Support study design discussions, analytic endpoint definitions, and interpretation of results for translational research programs.

Data stewardship
  • Support best practices for data governance, provenance, documentation, and reproducibility in handling human genomic data.
  • Work with institutional resources to implement secure computational environments and appropriate data access practices.

Mentorship and program growth
  • Mentor junior analysts as the program grows; contribute to hiring, onboarding, and training as needed.
  • Help establish standards for analytic workflows, documentation, and communication across the research team.

Required Qualifications
  • PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Biostatistics, or related field; or MS with substantial relevant experience (track/title commensurate with credentials).
  • Demonstrated experience analyzing ctDNA NGS data, including ultra-low allele fraction detection and/or MRD-related workflows.
  • Strong NGS fundamentals: alignment, variant calling, QC, annotation, and interpretation-ready output generation.
  • Proficiency in Python and/or R; strong comfort with Linux/Unix environments.
  • Experience implementing reproducible analytic workflows and maintaining code in collaborative environments (e.g., version control).
  • Track record of delivering robust pipelines used repeatedly for real datasets (not one-off scripts).
  • Strong communication skills and ability to operate effectively in a multidisciplinary translational environment.

Preferred Qualifications
Any of the following (or similar) would be a plus:
  • Method development experience related to error suppression, background error modeling, consensus approaches, or sensitivity/specificity benchmarking for ultra-low VAF detection.
  • Experience designing computational validation plans (e.g., precision/recall, LOD, reproducibility) and supporting assay/pipeline iteration.
  • Experience with FFPE tumor tissue sequencing analysis and variant calling (or similar challenging specimen types with artifact-aware calling and QC).
  • Familiarity with HIPAA-aligned compute environments and practices for handling human genomic data; experience with secure cloud environments (AWS/GCP/Azure).
  • Experience working in or alongside clinical genomics settings and documentation practices supportive of eventual clinical validation.
  • Experience mentoring analysts/engineers and/or leading pipeline development across multiple projects.

Application Instructions
Please submit:
  • CV
  • Brief cover letter describing ctDNA/NGS analysis experience and role-fit
  • (Optional) Link to code samples or repositories demonstrating relevant workflow/pipeline work
  • (Optional) Contact information for 3 references

Additional Job Description
Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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About MUSC Health

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MUSC is located in Charleston, SC, frequently named one of the best places in America to live. If charming, historic, vibrant, cultural, and coastal are adjectives that you find appealing, it's all here. In Charleston, you might find yourself dining at a world class restaurant tonight and relaxing on a boat as you explore our many waterways tomorrow. You might stroll along cobblestone streets, amidst centuries old homes by day and attend a jazz concert by night. Charleston is a place where you can live your life to its fullest.

Industry

Hospitality services

Company size

10,000+ Employees

Headquarters location

Charleston, SC, US

Year founded

1824

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