ZipRecruiter

Log In

1

Statistical Programmer Analyst Jobs in Boston, MA

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

Essential Functions: • Derives, compiles and formats data and structures for statistical analysis ... Preferred: • Experience programming in Java or Python. • Test-based/test-driven development ...

next page

Showing results 1-20

All JobsStatistical Programmer Analyst JobsStatistical Programmer Analyst Jobs in Boston, MA

Statistical Programmer Analyst information

See Boston, MA salary details

$67.5K

$109.7K

$166.1K

How much do statistical programmer analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for statistical programmer analyst in Boston, MA is $109,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $137,800.00 per year, depending on experience, location, and employer.

What are Statistical Programmer Analysts?

Statistical Programmer Analysts are professionals who develop, test, and maintain statistical programs for analyzing data, typically in industries such as healthcare, pharmaceuticals, finance, and research. They work closely with statisticians and data managers to ensure data is accurately processed and reported, often using programming languages like SAS, R, or Python. Their responsibilities include creating analysis datasets, generating tables, listings, and figures, and ensuring compliance with regulatory requirements. Statistical Programmer Analysts play a key role in transforming raw data into meaningful insights that support decision-making and research outcomes.

How do Statistical Programmer Analysts typically collaborate with clinical research teams during a study?

Statistical Programmer Analysts work closely with clinical research teams, including biostatisticians, data managers, and clinical project managers, to ensure accurate analysis and reporting of clinical trial data. They are responsible for programming data sets, creating statistical tables, listings, and figures, and validating results to support regulatory submissions or publications. Effective communication and collaboration are essential, as they often attend regular team meetings to discuss requirements, troubleshoot data issues, and ensure timelines are met. This teamwork fosters a dynamic environment where analytical and technical expertise directly contribute to the success of clinical research projects.

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

To thrive as a Statistical Programmer Analyst, you need strong skills in statistical analysis, programming (especially in SAS, R, or Python), and a relevant degree in statistics, mathematics, or a related field. Familiarity with clinical trial data standards (like CDISC), data management systems, and regulatory submission requirements is often required, along with certifications in SAS or similar tools. Attention to detail, analytical thinking, and effective collaboration are critical soft skills for this role. These skills and qualities are vital to ensure accurate data analysis, regulatory compliance, and successful team-based project delivery in data-driven environments.

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

AspectStatistical Programmer AnalystData Analyst
Required CredentialsBachelor's in Statistics, Computer Science, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and statistical analysisVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesWidely used across multiple sectors including business, finance, and healthcare

The main difference is that a Statistical Programmer Analyst primarily focuses on programming and analyzing clinical or research data using statistical software, while a Data Analyst often handles broader data interpretation and reporting across various industries. Both roles require similar technical skills but differ in industry focus and specific responsibilities.

What are popular job titles related to Statistical Programmer Analyst jobs in Boston, MA? For Statistical Programmer Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer Analyst jobs in Boston, MA look for? The top searched job categories for Statistical Programmer Analyst jobs in Boston, MA are:
Statistical Programmer Analyst jobs near you
Infographic showing various Statistical Programmer Analyst job openings in Boston, MA as of June 2026, with employment types broken down into 5% Locum Tenens, 52% Full Time, 35% Part Time, 5% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,709 per year, or $52.7 per hour.
Principal Statistical Programmer FSP - RWD/EPI

Principal Statistical Programmer FSP - RWD/EPI

Cytel

Cambridge, MA • On-site, Remote

Full-time

Posted 11 days ago

Job description

Job Description
You will contribute by:
  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities
  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms
  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data
  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)
    • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders
  • Being able to prioritize and manage work across multiple projects and stakeholders
  • Providing strong communication to ensure successful and timely project delivery
  • Solving technical problems with experience and expertise

Responsibilities
Summary of Key Responsibilities:
  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols
  • Create analytical databases from data extracts to facilitate conduct of data analyses
  • Conduct analyses consistent with methods set forth in study protocols and analysis plans
  • Produce tables and figures for discussions with other investigators, clients, and for study reports
  • Present results internally and to clients
  • Assist in the preparation of study reports and other deliverables
  • May have supervisory responsibilities in the future

Qualifications
What we're looking for:
  • Master's degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution
  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required
  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable
  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting
  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion
  • Confident and competent when interacting with internal and external stakeholders
  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Apply