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Statistics Programmer Jobs in Massachusetts (NOW HIRING)

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

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Statistics Programmer information

What is a statistics programmer?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do statistics programmers collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a statistics programmer?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Massachusetts?

For Statistics Programmer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Statistics Programmer jobs in Massachusetts look for?

The top searched job categories for Statistics Programmer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Statistics Programmer jobs?

Cities in Massachusetts with the most Statistics Programmer job openings:

Associate Director, Statistical Programming

Sironax Ltd.

Waltham, MA • On-site

$120 - $150/hr

Other

Re-posted 2 days ago


Job description

Associate Director, Statistical ProgrammingAssociate Director, Statistical Programming

Waltham, Massachusetts, United States

Position Overview

Sironax is seeking a highly motivated and experienced Associate Director, Statistical Programming to play a critical leadership role within our global clinical development organization. This position combines strategic oversight with hands-on programming expertise, offering a unique opportunity to influence clinical development, regulatory submissions, and corporate milestones.

The ideal candidate is adaptable, collaborative, and thrives in a fast-paced biotech environment. You will oversee CRO programming deliverables while also supporting high-priority internal analyses, executive presentations, and regulatory reporting activities across multiple therapeutic areas, including rare diseases.

Key Responsibilities
  • Lead oversight and management of CROs and external vendors to ensure timely, high-quality delivery of SDTM, ADaM, and TFL outputs.
  • Provide hands-on statistical programming support for internal analyses, executive presentations, investor materials, and regulatory submissions.
  • Collaborate closely with cross-functional teams including Biostatistics, Clinical Operations, Data Management, Regulatory Affairs, and Investor Relations.
  • Maintain alignment across global teams, including effective collaboration with US- and China-based stakeholders across multiple time zones.
  • Ensure compliance with CDISC standards, FDA/EMA regulatory requirements, and industry best practices.
  • Support programming activities across a diverse clinical pipeline, including complex and data-limited rare disease programs.
  • Contribute to process improvement initiatives, programming standards, and operational efficiencies within the statistical programming function.
Qualifications
  • Bachelor’s or Master’s degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative discipline.
  • Minimum of 8 years of statistical programming experience within the biotechnology or pharmaceutical industry.
  • At least 2 years of leadership, vendor oversight, or project management experience.
  • Advanced proficiency in SAS programming; experience with R programming is highly desirable.
  • Strong knowledge of CDISC standards (SDTM and ADaM) and regulatory submission requirements.
  • Experience supporting regulatory submissions and corporate milestones such as investor presentations or fundraising activities is preferred.
  • Excellent communication and collaboration skills with the ability to work effectively in a global environment.
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