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Statistical Programming Jobs in Massachusetts (NOW HIRING)

Treeline Biosciences

Head of Biometrics

Watertown, MA

$310K - $395K/yr

In your role as Head of Biometrics , you will be responsible for leading all biostatistics and statistical programming activities across Treeline's clinical and translational development programs.

Treeline Biosciences

Head of Biometrics

Watertown, MA · On-site

$310K - $395K/yr

In your role as Head of Biometrics , you will be responsible for leading all biostatistics and statistical programming activities across Treeline's clinical and translational development programs.

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

... programming development of new statistical methodology for measurement and analysis of data, simulation models and other statistical programming as needed. • Additional duties may be assigned ...

Clinovo

Biostatistician Contractor

Waltham, MA · On-site

Work closely with statistical programmers to conduct analyses, review programming deliverables, and ensure the quality and accuracy of statistical outputs. * Perform statistical programming for ...

Vrtx

Principal Biostatistician

Boston, MA · Hybrid

$174K - $262K/yr

Collaborates with statistical programming and other functions to ensure timely delivery of TFLs with good quality. Contributes to external interactions with regulators, payers, review boards, etc.

TScan Therapeutics

VP, Head of Biometrics

Waltham, MA · On-site

Oversee external CROs, statistical programming partners, and consultants to ensure quality, efficiency, and compliance. * Establish and continuously improve departmental processes, standards, and ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in Massachusetts

Statistical Programming information

See Massachusetts salary details

$92.3K

$160.9K

$271.9K

How much do statistical programming jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programming in Massachusetts is $160,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $174,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Massachusetts? The most popular types of Statistical Programming jobs in Massachusetts are:
What cities in Massachusetts are hiring for Statistical Programming jobs? Cities in Massachusetts with the most Statistical Programming job openings:
Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Massachusetts as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $160,861 per year, or $77.3 per hour.
Director, Biostatistics

Director, Biostatistics

Monte Rosa Therapeutics, Inc

Boston, MA • On-site

$230K - $265K/yr

Full-time

Re-posted 9 hours ago

Job description

Overview
The Director of Biostatistics is a hands-on statistical leader responsible for the design, analysis, and interpretation of Phase 1-Phase 3 clinical trials with a primary focus on inflammation and oncology indications. This role combines scientific leadership with active execution and intensive CRO oversight, ensuring high-quality statistical deliverables across outsourced clinical studies.
The Director will work closely with Clinical Development and external partners to drive trial design, analysis strategies, and regulatory-ready outputs while remaining directly involved in study-level statistical activities.
Responsibilities
Statistical Leadership
  • Lead and personally contribute to statistical strategy and execution for Phase 1-3 clinical studies, including first-in-human, dose-escalation, proof-of-concept, and registrational trials in oncology and inflammatory diseases.
  • Provide direct input into trial design, endpoint selection, sample size justification, interim analyses, and adaptive strategies, particularly for early-stage development
  • Author, review, and approve:
    • Statistical sections of clinical protocols
    • Statistical Analysis Plans (SAPs)
    • Tables, listings, and figures (TLFs)
    • Clinical Study Reports (CSRs)

CRO Oversight & Execution
  • Serve as the primary statistical point of contact for CROs, providing close, day-to-day oversight of outsourced biostatistics and programming activities
  • Actively review CRO deliverables for scientific accuracy, consistency, and regulatory compliance, including datasets, analysis outputs, and reports
  • Ensure CROs adhere to agreed-upon timelines, quality standards, CDISC/CDASH conventions, and statistical methodologies
  • Lead CRO selection, scope definition, and ongoing performance management for biostatistics and programming services

Cross-Functional & Regulatory Engagement
  • Partner closely with Clinical Development to ensure statistical approaches align with program objectives and clinical strategy Finish
  • Provide statistical expertise for data monitoring committees, interim analyses, and data review meetings
  • Contribute directly to regulatory submissions, briefing documents, and responses to health authority questions
  • Represent biostatistics in cross-functional development teams and external regulatory interactions as needed

Operational Focus
  • Ensure the timely production and accuracy of all statistical analyses and integrated reports across assigned studies
  • Maintain consistency of statistical approaches across programs while remaining flexible to study-specific needs
  • Stay current on evolving statistical methodologies, regulatory expectations, and industry best practices relevant to oncology and inflammation trials

Statistical Programming Oversight
  • Direct and mentor statistical programmers to ensure accurate, timely, and compliant production of CDISC-compliant datasets (SDTM/ADaM), tables, listings, and figures (TLFs) for clinical study reports.
  • Translate Statistical Analysis Plans (SAPs) into clear, actionable programming specifications and define data structure requirements for external CRO partners or internal teams.
  • Ensure rigorous quality control (QC) and validation of analysis datasets and statistical outputs to meet FDA/EMA regulatory standards."
  • Collaborate with data management and clinical teams to resolve data issues and ensure consistency between clinical databases and statistical outputs.
  • Develop and implement efficient statistical programming workflows, macros, and best practices to improve productivity and compliance across multiple clinical trials

Qualifications
  • PhD in Biostatistics, Statistics, Mathematics, Computer Science, or related field
  • 15 +years of experience supporting clinical drug development, including Phase 1-Phase 3 trials and regulatory submissions
  • Demonstrated experience working in CRO-heavy models, with direct responsibility for reviewing and managing outsourced statistical work
  • Strong expertise in clinical trial statistics, regulatory standards (FDA, ICH), and industry best practices
  • Proficiency with SAS and other commonly used statistical software

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