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Statistical Engineer Jobs (NOW HIRING)

IQVIA

Principal Statistical Programmer

Durham, NC

$98.20K - $273.20K/yr

Principal Statistical Programmer Start Date: Targeted for midJuly Position Summary We are seeking a Principal Statistical Programmer to provide full endtoend statistical programming support across ...

Biogen

Sr. Analyst, Statistical Programming

Cambridge, MA · On-site

$100K - $130K/yr

About this role The Senior Analyst, Statistical Programming leads and oversees statistical programming activities both internally and externally through vendors in the application of data standards ...

ProKidney

Statistical Programmer Contractor

Statistical Programmer ContractorPosition Summary:The Statistical Programmer Contractor is responsible for developing, validating, and maintaining SAS programming deliverables to support clinical ...

Kite Pharma

OR

$107.19K - $138.71K/yr

Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study ...

IQVIA

Principal Statistical Programmer

Durham, NC

$98.20K - $273.20K/yr

Principal Statistical Programmer Start Date: Targeted for midJuly Position Summary We are seeking a Principal Statistical Programmer to provide full endtoend statistical programming support across ...

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How much do statistical engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for statistical engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

How does a Statistical Engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What are Statistical Engineers?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

More about Statistical Engineer jobs
What states have the most Statistical Engineer jobs? States with the most job openings for Statistical Engineer jobs include:
What job categories do people searching Statistical Engineer jobs look for? The top searched job categories for Statistical Engineer jobs are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $94,030 per year, or $45.2 per hour.

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA • Hybrid

Other

Posted 18 days ago

Job description

What You'll Do: 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: 

  • 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.

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