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Statistical Programmer Jobs in Boston, MA (NOW HIRING)

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

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 ...

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.

Prometrika LLC

Principal Biostatistician

Cambridge, MA · On-site

$178K - $216K/yr

Proficiency in SAS statistical programming * Knowledge of other statistical and data management software packages is a plus * Strong written and oral communication skills * Knowledge and experience ...

MMS

Principal Biostatistician - Remote

Boston, MA · On-site

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

AstraZeneca

Senior Statistician II - Biostatistics

Boston, MA · On-site

$94K - $116K/yr

... statistical programmer (SAS and R) • Knowledge of key technical and regulatory requirements • Experience of design, analysis and reporting of clinical studies in more than one setting • ...

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Statistical Programmer information

See Boston, MA salary details

$91.8K

$160K

$270.5K

How much do statistical programmer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for statistical programmer 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 statistical programmers?

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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.

More about Statistical Programmer jobs
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:
What are popular job titles related to Statistical Programmer jobs in Boston, MA? For Statistical Programmer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Boston, MA look for? The top searched job categories for Statistical Programmer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Statistical Programmer jobs? Cities near Boston, MA with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Boston, MA as of June 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $159,998 per year, or $76.9 per hour.
Head of Statistical Programming

Head of Statistical Programming

AstraZeneca

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

Job Title: 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 role leads the statistical programming function at enterprise scale-defining how data, analytics, and automation come together to deliver submission-quality outputs that stand up to the highest scientific and regulatory scrutiny.
You will shape the roadmap for programming across our portfolio, build AI-enabled capabilities that increase speed and quality, and guide a community of leaders who deliver results study by study and submission by submission. Your decisions will determine how efficiently we generate evidence, how reliably we submit global dossiers, and how quickly we reach the patients who need our medicines. How will you mobilize leaders and partners to deliver at pace without compromising on excellence?
Accountabilities:
  • Programming Strategy and Direction: Set the strategic direction for statistical programming within Quantitative Sciences, aligning therapy areas and enterprise priorities to deliver consistent, submission-ready outputs.
  • AI and Technical Innovation: Lead the evolution of advanced analytics, automation, and AI strategies that improve data analysis and operational delivery, from standards-based programming to intelligent tooling.
  • Quality and Compliance Oversight: Define and own the programming strategy for quality oversight across the drug portfolio, ensuring compliance with CDISC and other global standards while embedding automation for reliability and reproducibility.
  • People and Leadership: Lead a group of programming leaders; craft and execute the people development strategy to build deep technical excellence and leadership capabilities across the function.
  • External Partnerships and Outsourcing: Shape and govern outsourcing strategies with Contract Research Organisations and other partners to ensure on-time, high-quality deliverables; contribute to global partner governance.
  • Statistical Analysis Environments and Tooling: Oversee the development, implementation, administration, and budget management of statistical analysis environments used for development, reporting, and global regulatory submissions.
  • Budget and Strategic Planning: Plan and manage a complex departmental budget; forecast quarterly, annual, and multi-year needs; provide inputs to the corporation's strategic planning process.
  • Portfolio and Capacity Management: Lead portfolio-level programming capacity planning across therapy areas/R&D, ensuring resources are proactively aligned to enterprise priorities.
  • Continuous Improvement and Change: Drive continuous improvement and large-scale change initiatives within the function and across R&D, increasing efficiency and elevating quality.
  • Regulatory and Payer Submissions: Provide strategic, scientific, and programming guidance for submissions to global regulatory and payer authorities, ensuring clarity, traceability, and inspection readiness.

Essential Skills/Experience:
  • Proven track record setting the strategic direction of Programming within Quantitative Sciences.
  • At least 10 years experience leading the development of Programming strategy within a business unit while contributing to enterprise-wide Programming strategy, including leadership of broader Quantitative Sciences strategy.
  • Major contributions to or leadership of strategic initiatives, including developing and executing AI and other technical strategies related to data analysis and operational delivery.
  • Responsibility for people development strategy within a programming function and leadership of a group of leaders.
  • Accountability for the programming strategy for quality oversight of a drug portfolio.
  • Expertise developing and executing outsourcing strategies to maintain the highest quality of programming deliverables; contributions to global governance of external partners (e.g., CROs).
  • Experience with the development, implementation, administration, and budget management of statistical analysis environments utilized in the development, reporting, and submission of global regulatory dossiers.
  • Demonstrated ability to plan and manage complex departmental budgets, with accountability for quarterly, annual, and multi-year forecasting and input to corporate strategic planning.
  • Accountability for compliance to standards and automation usage (including AI, CDISC, etc.) across therapy areas/R&D units.
  • Delivery of continuous improvement and large-scale change projects within the function or across R&D.
  • Leadership of portfolio-level programming capacity management for a therapy area/R&D unit.
  • Provision of strategic, scientific, and programming advice to teams regarding submission of programming deliverables to global regulatory and payer authorities.
  • Leadership of leaders within a Programming organization.

Desirable Skills/Experience:
  • Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline.
  • Deep expertise with CDISC standards and modern statistical programming languages and tools (e.g., SAS, R, Python) and their application in validated environments.
  • Hands-on leadership establishing and operating scalable statistical computing environments, with a strong track record in global dossier submissions.
  • Experience building AI governance and automation frameworks that improve quality, speed, and reproducibility in clinical programming.
  • Demonstrated success governing CROs/strategic suppliers at scale, including quality oversight, KPIs, risk management, and inspection readiness.
  • Change leadership across large R&D organizations, including operating model evolution and capability-building.
  • Background in rare disease, orphan indications, or other complex therapeutic areas; experience with payer/HTA submissions is a plus.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca:
Here, the urgency and purpose of helping people with rare and devastating diseases meet the scale, resources, and data-rich environments of a global biopharma. You will work with cutting-edge tools and standards, sit shoulder-to-shoulder with clinical, regulatory, and data science peers, and turn bold ideas into inspection-ready submissions. We bring unexpected teams together to solve complex problems, value kindness alongside ambition, and empower leaders to stretch beyond their lane to define what comes next. Your leadership will shape how evidence is generated and delivered-accelerating therapies to patients while building capabilities that raise the bar for our industry.
Pay Transparency:
The annual base pay for this position ranges from $257,140 - 385,711 USD annual. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Call to Action:
Lead the future of statistical programming-bring your vision, build lasting capabilities, and help deliver therapies that change lives faster.
Date Posted
14-May-2026
Closing Date
30-Sep-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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