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Statistical Programmer Jobs in Boston, MA (NOW HIRING)

Are you an experienced Manager and Leader in Statistical Programming with a deep knowledge of clinical drug development and line management experience? Would you like to be part of a fast-paced and ...

Are you an experienced Manager and Leader in Statistical Programming with a deep knowledge of clinical drug development and line management experience? Would you like to be part of a fast-paced and ...

Head of Statistical Programming Introduction to role: Are you ready to set the global programming strategy that accelerates life-changing therapies for people with rare and devastating diseases? This ...

Head of Statistical Programming Introduction to role: Are you ready to set the global programming strategy that accelerates life-changing therapies for people with rare and devastating diseases? This ...

Advanced SAS programming skills in a clinical and statistical data environment * Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a ...

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.

Oversight of internal programming activities and/or CRO contributions on assigned clinical trials and other activities. * Contribute to or lead other activities from a statistical perspective as ...

Showing results 41-60

Statistical Programmer information

See Boston, MA salary details

$91.8K

$160K

$270.5K

How much do statistical programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical programmer in Boston, MA is $160,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable 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 a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, 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 data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Boston, MA? The most popular types of Statistical Programmer jobs in Boston, MA are:
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What cities near Boston, MA are hiring for Statistical Programmer jobs? Cities near Boston, MA with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, 3% Temporary, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $160,009 per year, or $76.9 per hour.

Associate Director, Statistical Programming

Kailera Therapeutics, Inc.

Waltham, MA • On-site

Full-time

Re-posted 14 days ago


Job description

What You'll Do:

We are seeking an experienced programmer to join us as Associate Director, Statistical Programming. This is a critical role responsible for leading statistical programming activities on the assigned disease area(s). This role will support clinical trials, regulatory submissions, and other key initiatives.

Required location: Waltham, MA (hub-based, onsite 3-4 days per week)

Responsibilities:

  • Lead statistical programming efforts for clinical studies, including the development and review of programming specifications to ensure clarity, integrity, and compliance with internal and external standards
  • Lead the execution of ad-hoc and post-hoc analyses to support emerging clinical questions, publications, and internal decision-making
  • Oversee and coordinate activities with Contract Research Organizations (CROs), focusing on the implementation of CDISC standards, creation of SDTM, ADaM datasets, and TFLs, and ensuring high-quality deliverables
  • Conduct independent validation and quality checks of statistical programming deliverables from CROs
  • Collaborate closely with statisticians and cross-functional study teams to deliver results in a timely and accurate manner
  • Manage multiple projects simultaneously, ensuring tasks are prioritized effectively to meet deadlines

Required Qualifications:

  • Proven hands-on experience in programming for clinical development, preferably in a leadership role, with a strong preference for late-phase clinical trial support
  • Experience in regulatory submissions, including NDAs, BLAs, and other filings, with experience in ISS/ISE highly desirable
  • Expertise in SAS programming and comprehensive knowledge of CDISC standards
  • Familiarity with ICH/GCP guidelines and global regulatory submission requirements (e.g., FDA, EMA)
  • Extensive experience overseeing CROs, including independent validation of datasets and statistical deliverables

Preferred Qualifications:

  • Background in cardiometabolic diseases or related therapeutic areas is preferred

 

Education:

  • Advanced degree (MS/PhD) in Biostatistics, Statistics, or a related field
    • MS: Minimum of 8+ years of relevant experience
    • PhD: Minimum of 6+ years of relevant experience