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Junior R Statistical Programmer Jobs (NOW HIRING)

Cytel

Senior R Statistical Programmer

Cambridge, MA · On-site +1

The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data ...

EDETEK

Senior Statistical Programmer

Mentor and provide guidance to junior statistical programmers to enhance their skills and ... Proficiency in SAS programming; experience with R and other statistical software is a plus.

Rhythm Pharmaceuticals

Statistical Programmer

Boston, MA · On-site

$110K - $165K/yr

Depending on level, mentor junior programmers, provide technical guidance, contribute to resource ... R or other modern programming tools is a plus. * Deep knowledge of CDISC standards, including SDTM ...

ImmunityBio

Senior Statistical Programmer

Dunkirk, NY · On-site

Train junior staff in more complex statistical programming techniques. * Adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of templates. * Perform ad-hoc and ...

GSK

Principal Statistical Programmer

Durham, NC · On-site

Mentor junior programmers and influence programming approaches through strong technical leadership ... Expertise in R programming. * 6+ years of clinical programing experience * 5+ years of experience ...

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of ...

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How much do junior r statistical programmer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for junior r statistical programmer in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What are typical challenges a junior R statistical programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

What are the key skills and qualifications needed to thrive as a junior R statistical programmer?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What is a junior R statistical programmer?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
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Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 78% In-person, 2% Hybrid, and 20% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Senior R Statistical Programmer

Cytel

Cambridge, MA • On-site, Remote

Full-time

Posted 19 days ago

Job description


The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.
Responsibilities
  • Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency
  • Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
  • Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
  • Partners with study teams in use and further improvement of processes and tools
  • Facilitates change management activities and training for department systems and processes

Qualifications
  • Minimum 5 years' industry experience (Pharma, Biotech, CRO)
  • Experience with R within regulated clinical development environments
  • Strong R data manipulation and analysis skills using standard tidyverse packages
  • Strong R visualization skills for use in static outputs and dashboards
  • Experience with developing R packages including proper documentation and testing
  • Experience developing SAS code including SAS/MACRO preferred
  • Familiarity with Posit products including Workbench, Positron, and Connect
  • High attention to detail including proven ability to manage multiple, competing priorities
  • Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials' data
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners

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