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Junior R Statistical Programmer Jobs in Massachusetts

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

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 ...

Vrtx

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 ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

MMS

Study Design Statistician (US)

Boston, MA · On-site

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 ...

Prometrika LLC

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 ...

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Junior R Statistical Programmer information

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 the most commonly searched types of R Statistical Programmer jobs in Massachusetts? The most popular types of R Statistical Programmer jobs in Massachusetts are:
What are popular job titles related to Junior R Statistical Programmer jobs in Massachusetts? For Junior R Statistical Programmer jobs in Massachusetts, the most frequently searched job titles are:
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What cities in Massachusetts are hiring for Junior R Statistical Programmer jobs? Cities in Massachusetts with the most Junior R Statistical Programmer job openings:
Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Associate Director, Statistical Programming

Dyne Therapeutics

Waltham, MA • On-site

Full-time

Re-posted yesterday

Job description

Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook.
Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities.
Role Summary:
The Associate Director, Statistical Programming is accountable for program-specific and cross-study statistical programming activities, including oversight of vendor programming activities. In collaboration with cross-functional stakeholders, this position contributes to process optimization, innovation, and consistency across studies. This position provides technical leadership for statistical programming activities across multiple studies within a program, including oversight of vendor-related activities and implementation of data standards. In collaboration with cross-functional stakeholders, this role provides technical consultation to study teams and supports alignment of statistical programming resources and capabilities to meet organizational priorities. This role assists the Head of Statistical Programming in contributing to departmental strategies and driving the continuous improvement of departmental procedures, training, standards, and automation initiatives.
This role is based in Waltham, MA.
Primary Responsibilities Include:
  • Lead and oversee statistical programming activities across multiple clinical trials and studies, ensuring high-quality deliverables, operational consistency, and adherence to timelines
  • Collaborate with biostatisticians, data managers, clinical operations, vendors, and other cross-functional stakeholders to define programming strategies, priorities, and study requirements
  • Develop, validate, review, and maintain analysis datasets (CDISC standards), tables, listings, and figures (TLFs) in accordance with regulatory guidelines, internal standards, and submission requirements
  • Provide technical leadership and oversight for statistical programming deliverables across studies, including consistency of implementation and standards application.
  • Review statistical analysis plans (SAPs) and provide strategic and operational input to support execution feasibility, cross-study consistency, and regulatory readiness
  • Perform complex statistical analyses and simulations using SAS and/or R and support advanced analytical and data visualization solutions for clinical trial interpretation and decision-making
  • Provide expertise in statistical programming for regulatory submissions (e.g., FDA, EMA), including electronic submission standards (eCTD), and oversee submission readiness activities across studies
  • Coordinate and oversee vendor/FSP statistical programming activities across studies to ensure quality, compliance, and timely delivery
  • Build, maintain, and promote reusable, software-agnostic tools, macros, and automation solutions to improve efficiency, scalability, and standardization
  • Contribute to the evolution and implementation of departmental programming standards, processes, validation practices, and innovation initiatives
  • Mentor and provide technical guidance to junior programmers and may supervise or lead small programming teams or contractors
  • Support resource planning, prioritization, and coordination of programming deliverables across studies and programs
  • Stay current with industry trends, best practices, regulatory expectations, and emerging technologies in statistical programming and data analysis

Education and Skills Requirements:
  • Bachelor's degree required; advanced degree preferred in statistics, biostatistics, computer science, life sciences, or a related field
  • Minimum of 10 years of statistical programming experience within the pharmaceutical, biotechnology, including multi-study experience
  • Advanced proficiency in SAS required; experience with R, Python preferred.
  • Strong knowledge and applied experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and data standards
  • Demonstrated experience supporting or leading regulatory submissions, including eCTD deliverables
  • Experience coordinating vendor/FSP statistical programming activities across multiple studies preferred
  • Demonstrated leadership and project management skills, including the ability to lead cross-functional initiatives and manage multiple priorities simultaneously
  • Strong understanding of the clinical development process and cross-functional collaboration with Biostatistics, Data Management and Clinical Development organizations
  • Excellent communication, interpersonal, and stakeholder management skills
  • Detail-oriented with strong commitment to quality, compliance, consistency, and operational excellence
  • Ability to adapt to changing priorities and contribute to departmental strategy, innovation, and continuous improvement initiatives

#LI-Onsite
MA Pay Range
$175,000-$204,000 USD
The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills.
The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.
Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

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