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Statistical Programming Jobs in Boston, MA (NOW HIRING)

Sr. Manager, Statistical Programming

Boston, MA ยท On-site

$151K - $172K/yr

Ensure the statistical programming processes and deliverables are aligned with regulatory requirements and internal procedures. Interact with the study statisticians and study team regarding ...

You will lead a study team of statistical programmers to accomplish tasks and communicate issues, as necessary, to line management. This includes communication and quality oversight of the vendor.

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 ...

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 ...

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Statistical Programming information

See Boston, MA salary details

$91.8K

$160K

$270.5K

How much do statistical programming jobs pay per year?

As of Jun 24, 2026, the average yearly pay for statistical programming in Boston, MA is $159,998.00, 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 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 Boston, MA? The most popular types of Statistical Programming jobs in Boston, MA are:
What job categories do people searching Statistical Programming jobs in Boston, MA look for? The top searched job categories for Statistical Programming jobs in Boston, MA are:
What cities near Boston, MA are hiring for Statistical Programming jobs? Cities near Boston, MA with the most Statistical Programming job openings:
Infographic showing various Statistical Programming job openings in Boston, MA as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $159,998 per year, or $76.9 per hour.

Sr. Manager, Statistical Programming

Servier

Boston, MA โ€ข On-site

$151K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

About Servier
Servier in the U.S. is a Boston-based, commercial-stage biopharmaceutical company launched by Servier Group in 2018. As a privately held organization, Servier is uniquely positioned to advance cutting-edge science, tackle underserved therapeutic areas and make patients the focus of every strategic decision.
Role Summary
The Sr Manager, Statistical Programming is responsible for the development of statistical programming on the study level by performing hands-on programming or oversight of outsourced programming deliverables. Ensure the statistical programming processes and deliverables are aligned with regulatory requirements and internal procedures.
Interact with the study statisticians and study team regarding statistical programming aspects.
Primary Responsibilities
  • Provide programming support for the development or QC of:
    • SDTMs
    • ADaM specifications
    • ADaM datasets
    • TLFs
  • Manage statistical programming activities for a clinical study related to CSR, iDMC, Adhoc analysis and publications etc.
  • Ensure high quality, traceability, reproducibility, and timeliness of statistical programming deliverables to meet expectations and regulatory requirements
  • Independently implement routine and non-standard analysis algorithms for assigned projects or studies
  • Collaborate with statisticians, local and CRO programmers to define and implement analysis requirements and perform sponsor oversight regarding data and analysis
  • Deliver exemplary performance and solve complex technical problems to inspire other programmers
  • Ensure an efficient collaboration with all the members of the clinical study team.
  • Ensure the statistical programming systems, processes and deliverables are aligned with the relevant regulatory requirements, for instance:
    • Clinical study reporting, e.g. ICH E3
    • Electronic records handling, e.g. Chapter 21 of the US Code of Federal Regulation - Part 11
    • Electronic submission of clinical data to agencies, e.g. e-CTD guidance and CDISC SDTM and ADaM standards
    • Ensure the datasets (SDTMs and ADaMs) are CDISC compliant
  • Keep abreast of current and new statistical programming techniques and other applicable technical advancements while assisting in their implementation

Other Responsibilities
  • Guarantee that all relevant programming documents are part of the Trial Master File
  • Contribute to the establishment and maintenance of common formats and templates for key Programming documentation (e.g., standard CRF pages, Tables, Figures and Listings)
  • Understand, follow, and ensure adherence to programming SOPs. Maintain awareness of industry standards, regulatory requirements, guidelines and any other relevant Servier SOPs
  • Help the project lead to plan and track study activities and timelines

Education and Required Skills
  • Masters in Statistics, Engineering, or relevant field required with at least 5 years of experience in statistical programming or biostatistics in the Pharmaceutical/Biotechnology industry. Clinical Development experience preferred
  • Experience with statistical programming in Oncology desirable
  • Proficient in SAS
  • Good knowledge of CDISC ADaM and SDTM
  • Strong knowledge of relevant regulatory and data submission guidelines
  • Self-directed, technically strong, expert regarding statistical programming processes, management of statistical programmers at study level
  • Strong study management skills
  • Good negotiation and issue resolution skills
  • Ability to organize team's work and prioritize and balance concurrent tasks and responsibilities.
  • Excellent time management skills
  • Ability to educate internal and external interfaces (CROs and contractors) on the statistical programming processes, and the underlying regulatory requirements

Travel and Location
  • Some domestic and international travel required (2-3 times per year)
  • On-site in Boston (recommended 2-3 days hybrid) or 100% remote with occasional travel to Boston

Job Description
Candidate Profile
Servier's Commitment
Servier is committed to modeling diversity, equity, and inclusion within the industry. We are dedicated to fostering an environment that maintains equitable treatment for all and we welcome applicants who are passionate, committed, and innovative individuals. We encourage candidates to apply to our open roles as we are always willing to consider experiences and skills beyond what is listed in the job description.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Salary Range
The salary range for this role is $151,000 - $172,000. An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. We may ultimately pay more or less than the posted range, and the range may be modified in the future. Employees in this position are also eligible for Short-Term and Long-Term incentive programs. Servier also offers a competitive and comprehensive benefits package that includes benefits such as medical, dental, vision, flexible time off (Servier provides unlimited sick time and flex time, and does not accrue time off), 401(k), life and disability insurance, recognition programs among other great benefits (all benefits are subject to eligibility requirements). For more information on our benefits, please visit this link.