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Junior R Statistical Programmer Jobs in Randolph, MA

Essential Functions: • Derives, compiles and formats data and structures for statistical analysis ... in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming ...

Principal Biostatistician

Boston, MA · Hybrid

$174K - $262K/yr

Develops breadth of knowledge across related disciplines with a drug developer mindset. Knowledge and Skills: In-depth experience with SAS and R statistical software Demonstrated understanding of ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

This role leads the statistical programming function at enterprise scale-defining how data ... Delivery of continuous improvement and large-scale change projects within the function or across R ...

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Principal Biostatistician

Cambridge, MA · On-site

$178K - $216K/yr

Provide training and guidance to junior level and new staff * Understand regulatory requirements ... Proficiency in SAS statistical programming * Knowledge of other statistical and data management ...

Showing results 21-40

Junior R Statistical Programmer information

See Randolph, MA salary details

$7

$27

$48

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

As of Aug 9, 2026, the average hourly pay for junior r statistical programmer in Randolph, MA is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $33.85 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.
What are popular job titles related to Junior R Statistical Programmer jobs in Randolph, MA? For Junior R Statistical Programmer jobs in Randolph, MA, the most frequently searched job titles are:
What job categories do people searching Junior R Statistical Programmer jobs in Randolph, MA look for? The top searched job categories for Junior R Statistical Programmer jobs in Randolph, MA are:
Infographic showing various Junior R Statistical Programmer job openings in Randolph, MA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $57,172 per year, or $27.5 per hour.

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA • Hybrid

Full-time

Re-posted 29 days ago


Job description

What You'll Do: Reporting to the Senior Director, Statistical Programming, the Associate Director will provide statistical and clinical data programming expertise to manage statistical programming activities that support drug development programs and regulatory submissions. This role involves overseeing the creation, validation, and delivery of programming deliverables, ensuring compliance with industry standards, and fostering cross-functional collaboration with biostatistics, data management, clinical, and regulatory teams.

Responsibilities: 

  • Oversee the development and validation of SAS programs to generate datasets (SDTM, ADaM), tables, listings, and figures (TLFs) in compliance with CDISC standards.
  • Ensure the timely and high-quality delivery of programming outputs for regulatory submissions, clinical study reports, and exploratory analyses.
  • Ensure all programming activities align with industry standards (CDISC, ICH, FDA, EMA) and internal SOPs.
  • Programming lead for clinical programs as needed. Hand-on programming work in SAS and other programming languages/tools.
  • Establishes and maintains CRO/vendor partnerships.
  • Act as a liaison between statistical programming and other functions, ensuring clear communication and alignment of goals.
  • Partner with biostatistics, data management, and clinical operations to resolve programming issues and optimize processes.
  • Identify and implement new tools, techniques, and processes to improve efficiency and quality in statistical programming.

Qualifications:

  • Master's degree in statistics, computer science or a related field
  • At least 8 years of statistical programming experience in the pharmaceutical/biotech industry
  • Proven ability to manage CRO relationships and oversee programmed deliverables.
  • Extensive experience in leading statistical programming function for both early and late phase clinical trials, and regulatory submissions (NDA/BLA, MAA)
  • Excellent skills in SAS programming and statistical reporting, knowledge of R and R Shiny desirable
  • In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements
  • Familiarity with FDA and ICH regulations and guidelines
  • Excellent written and verbal communication skills, ability to collaborate with a multidisciplinary team and interact effectively in a fast-paced team environment

Location: This is a hybrid role with three days per week in-office in Burlington, Massachusetts.