ZipRecruiter

Log In

1

Director Statistical Programming Jobs in Boston, MA

Treeline Biosciences

Director, Biostatistics

Watertown, MA · On-site

$226K - $257K/yr

Director of Biostatistics The Director of Biostatistics will lead the statistical strategy, design ... Analysis & Programming: Program, validate, and perform statistical analyses for trial data cuts ...

micro1 AI

Director of Biostatistics

Lowell, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Boston, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

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.

micro1 AI

Director of Biostatistics

Quincy, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Lynn, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Cambridge, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Brockton, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Dyne Tx

Senior Director, Biostatistics

Waltham, MA · On-site

$250 - $290/hr

Role Summary The Senior Director, Biostatistics provides strategic, technical, and operational ... Management, Statistical Programming, Translational Medicine, Program Management, and other ...

previous page

Showing results 41-60

All JobsStatistical Programming JobsDirector Statistical Programming JobsDirector Statistical Programming Jobs in Boston, MA

Director Statistical Programming information

See Boston, MA salary details

$166.8K

$304.3K

$373.7K

How much do director statistical programming jobs pay per year?

As of Aug 24, 2026, the average yearly pay for director statistical programming in Boston, MA is $304,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $283,000.00 and $350,300.00 per year, depending on experience, location, and employer.

What is a director statistical programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

What does a director statistical programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.

What are the key skills and qualifications needed to thrive as a director statistical programming?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

How does a director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.
More about Director Statistical Programming jobs

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 are popular job titles related to Director Statistical Programming jobs in Boston, MA?

For Director Statistical Programming jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Director Statistical Programming jobs in Boston, MA look for?

The top searched job categories for Director Statistical Programming jobs in Boston, MA are:

What cities near Boston, MA are hiring for Director Statistical Programming jobs?

Cities near Boston, MA with the most Director Statistical Programming job openings:

Director Statistical Programming jobs near you
Infographic showing various Director Statistical Programming job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $304,352 per year, or $146.3 per hour.

Associate Director, Epidemiological Statistical Programming FSP

Cambridge, MA • On-site, Remote

Cytel
See more jobs at Cytelexternal

Full-time

Posted 7 days ago

Job description


Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Principal Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview:
The Associate Director, Epidemiological Statistical Programming serves as a senior technical leader within the Epidemiology programming function, providing functional guidance, technical expertise, and mentorship to statistical programmers while also contributing directly to complex epidemiological projects. Working with a high degree of independence, this individual translates project and scientific objectives into effective programming strategies, proactively manages priorities and deliverables, and provides expert technical consultation to team members and cross-functional partners.
The Associate Director is responsible for leading and supporting the implementation of statistical programming activities across epidemiological and real-world evidence studies, ensuring that analyses and data outputs are accurate, reproducible, consistent, and delivered to a high standard of quality. This role may provide technical oversight of internal and external programming resources, including CRO partners, and will establish and promote programming standards, efficient processes, and best practices across projects.
In addition to hands-on project responsibilities, the Associate Director will play an important role in developing programming capabilities within the team by mentoring colleagues, reviewing and advising on technical approaches, identifying opportunities for process improvement and automation, and helping ensure appropriate allocation and execution of programming work. The individual will collaborate closely with epidemiologists, statisticians, data scientists, and other cross-functional partners to support the generation of high-quality evidence across multiple therapeutic areas.
Responsibilities
As an Associate Director, Epidemiological Statistical Programming, your responsibilities will include:
  • Provide technical and functional leadership to statistical programmers supporting epidemiological and real-world evidence (RWE) studies, including mentoring team members, providing technical guidance, and promoting consistent, high-quality programming practices.
  • Lead and contribute hands-on to statistical programming activities for epidemiological studies across multiple therapeutic areas, translating study objectives, protocols, and statistical analysis plans into robust and reproducible analytical solutions.
  • Develop, validate, and maintain high-quality SAS and/or R programs to support the creation of analysis datasets, statistical outputs, tables, figures, and other data products required for epidemiological research and evidence generation.
  • Partner closely with epidemiologists, statisticians, data scientists, and other cross-functional stakeholders to determine appropriate programming approaches and ensure analyses are implemented accurately and efficiently.
  • Provide expert technical consultation on complex programming, data, and analytical challenges, identifying appropriate solutions and advising team members and project stakeholders on best practices.
  • Oversee and review programming deliverables to ensure accuracy, reproducibility, consistency, quality, and adherence to agreed timelines and standards.
  • Support programming activities using a variety of real-world and observational data sources, which may include administrative claims, electronic health records, registries, and other healthcare databases.
  • Lead or contribute to the development of analysis-ready datasets and programming specifications, including data transformations, derivation logic, quality-control procedures, and documentation necessary to ensure transparent and reproducible analyses.
  • Establish, enhance, and promote programming standards, reusable tools, macros, code libraries, documentation, and quality-control processes that improve efficiency and consistency across epidemiological projects.
  • Drive continuous improvement and identify opportunities for automation, standardization, and innovative programming approaches that enhance the scalability and quality of epidemiological programming activities.
  • Contribute to the planning and prioritization of programming activities across projects, proactively identifying resource needs, technical risks, dependencies, and potential challenges to successful delivery.
  • Support scientific deliverables including regulatory and health authority requests, publications, abstracts, presentations, evidence-generation activities, and other analyses supporting clinical development, medical affairs, and/or value and access objectives.
  • Ensure programming activities are conducted in accordance with applicable regulatory requirements, company policies, SOPs, data privacy requirements, and industry best practices.
  • Lead or contribute to the development and maintenance of SOPs, work instructions, programming conventions, and other documentation governing epidemiological statistical programming activities.
  • Foster strong collaboration across internal and external teams and contribute to the development of programming talent through coaching, knowledge sharing, technical review, and mentorship.

Qualifications
Here at Cytel, we want our employees to succeed, and we enable that success through consistent training, development, and support. To be successful in this position, you will have:
  • Bachelor's degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics, or a related quantitative discipline; advanced degree is a plus.
  • 8+ years of relevant statistical programming experience within the pharmaceutical, biotechnology, CRO, healthcare, or life sciences industry, with demonstrated experience supporting epidemiological, observational, real-world evidence (RWE), HEOR, and/or related research.
  • Experience with Optum and Truveta.
  • Advanced programming expertise in SAS and/or R, with demonstrated ability to develop, validate, and maintain complex analytical programs and reproducible programming workflows.
  • Strong experience working with large and complex healthcare data sources, such as administrative claims, electronic health records (EHR), patient registries, or other real-world data sources.
  • Demonstrated understanding of epidemiological study designs, statistical analysis methods, and the application of programming techniques to observational and real-world research.
  • Proven ability to provide technical leadership and guidance to statistical programmers, including mentoring colleagues, reviewing programming approaches and deliverables, and resolving complex technical challenges.
  • Experience leading or coordinating programming activities across multiple projects, including prioritizing deliverables, identifying risks and dependencies, and ensuring work is completed to established quality standards and timelines.
  • Experience overseeing and reviewing programming deliverables.
  • Experience with line managing a team.
  • Strong commitment to programming quality, reproducibility, documentation, and the development and implementation of programming standards and best practices.
  • Ability to work independently, exercise sound technical judgment, and effectively manage multiple priorities in a dynamic, cross-functional environment.
  • Excellent written and verbal communication skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Strong collaboration and leadership skills, with demonstrated ability to influence, mentor, and build effective working relationships across multidisciplinary and geographically dispersed teams.

Preferred Qualifications (Nice to Have)
  • Master's degree or higher in Statistics, Biostatistics, Epidemiology, Data Science, Computer Science, or another relevant quantitative discipline.
  • Experience programming across multiple epidemiological and real-world data sources and/or therapeutic areas.
  • Experience supporting regulatory-grade RWE, regulatory submissions, health authority requests, or other evidence-generation activities.
  • Experience with additional programming languages, technologies, and analytical tools such as Python, SQL, Git, Unix/Linux, R Markdown/Quarto, Shiny, or similar tools.
  • Experience developing reusable programming tools, packages, macros, automated workflows, or other solutions that improve programming efficiency, quality, and scalability.
  • Experience contributing to programming standards, SOPs, work instructions, technical guidance, or organizational best practices.
  • Experience with cloud-based analytics platforms and/or modern data environments.

Apply