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Statistics Programmer Jobs in Derry, NH (NOW HIRING)

Interpret complex inspection results and statistical data (SPC), communicating variations or deviations clearly to the engineering and production teams. * Cross-Functional Collaboration: Participate ...

CMM Programmer

Billerica, MA ยท On-site

$36 - $44/hr

Interpret complex inspection results and statistical data (SPC), communicating variations or deviations clearly to the engineering and production teams. * Cross-Functional Collaboration: Participate ...

CNC Programmer

Haverhill, MA ยท On-site

$100K - $120K/yr

Use statistical methods to evaluate and solve machining program/process issues * Work directly with CNC programming staff to ensure best practices ae reviewed/incorporated. * Test/implement NX ...

... Statistical Process Controls / AS9103 Understanding of Lean Manufacturting - Preferred Ability to navigate Microsoft Office (Word, Excel, Powerpoint, etc) PHYSICAL DEMANDS: The physical demands ...

The CMM Programmer is responsible for performing inspections and supporting data analysis ... Understanding of Statistical Process Controls / AS9103 * Understanding of Lean Manufacturting ...

The CMM Programmer is responsible for performing inspections and supporting data analysis ... Understanding of Statistical Process Controls / AS9103 * Understanding of Lean Manufacturting ...

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Showing results 1-20

Statistics Programmer information

See Derry, NH salary details

$62.5K

$101.6K

$153.8K

How much do statistics programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for statistics programmer in Derry, NH is $101,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $127,600.00 per year, depending on experience, location, and employer.

What are Statistics Programmers?

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 typically 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, and why are they important?

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.

Infographic showing various Statistics Programmer job openings in Derry, NH as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $101,587 per year, or $48.8 per hour.
Associate Director, Statistical Programming

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA โ€ข Hybrid

Other

Re-posted 2 days ago


Job description

What You'll Do:ย Reporting to the Senior Director, Statistical Programming, the Associate Director will provide statistical and clinical data programming expertise to manage statistical programming activities that support drug development programs and regulatory submissions. This role involves overseeing the creation, validation, and delivery of programming deliverables, ensuring compliance with industry standards, and fostering cross-functional collaboration with biostatistics, data management, clinical, and regulatory teams.

Responsibilities:ย 

  • Oversee the development and validation of SAS programs to generate datasets (SDTM, ADaM), tables, listings, and figures (TLFs) in compliance with CDISC standards.
  • Ensure the timely and high-quality delivery of programming outputs for regulatory submissions, clinical study reports, and exploratory analyses.
  • Ensure all programming activities align with industry standards (CDISC, ICH, FDA, EMA) and internal SOPs.
  • Programming lead for clinical programs as needed. Hand-on programming work in SAS and other programming languages/tools.
  • Establishes and maintains CRO/vendor partnerships.
  • Act as a liaison between statistical programming and other functions, ensuring clear communication and alignment of goals.
  • Partner with biostatistics, data management, and clinical operations to resolve programming issues and optimize processes.
  • Identify and implement new tools, techniques, and processes to improve efficiency and quality in statistical programming.

Qualifications:

  • Master's degree in statistics, computer science or a related field
  • At least 8 years of statistical programming experience in the pharmaceutical/biotech industry
  • Proven ability to manage CRO relationships and oversee programmed deliverables.
  • Extensive experience in leading statistical programming function for both early and late phase clinical trials, and regulatory submissions (NDA/BLA, MAA)
  • Excellent skills in SAS programming and statistical reporting, knowledge of R and R Shiny desirable
  • In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements
  • Familiarity with FDA and ICH regulations and guidelines
  • Excellent written and verbal communication skills, ability to collaborate with a multidisciplinary team and interact effectively in a fast-paced team environment

Location: This is a hybrid role with three days per week in-office in Burlington, Massachusetts.