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Statistical Engineer Jobs (NOW HIRING)

Navitas Life Sciences

Senior Statistical Programmer

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst supporting the clinical reporting production programming and verification for client regulatory ...

ImmunityBio, Inc.

Principal Statistical Programmer

Position Summary A Principal Statistical Programmer is an expert in management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ...

Xencor

CON-Statistical Programmer

San Diego, CA · On-site

$75 - $100/hr

Xencor is seeking a Contract Statistical Programmer to join our team. This position is based in San Diego, California, and follows a hybrid work arrangement, with the potential to be fully remote.

Servier

Sr. Manager, Statistical Programming

Boston, MA · On-site

$151K - $172K/yr

Ensure the statistical programming processes and deliverables are aligned with regulatory requirements and internal procedures. Interact with the study statisticians and study team regarding ...

Biogen

NC · On-site

$81K - $105K/yr

About this role The Analyst, Statistical Programming supports statistical programming activities (with assistance from project team lead or line management) internally and externally through vendors ...

LivaNova

Statistical Programmer II

Houston, TX · On-site

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

LivaNova

Statistical Programmer II

Minneapolis, MN · On-site

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

LivaNova

Statistical Programmer II

Dallas, TX · On-site

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

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How much do statistical engineer jobs pay per year?

As of Jun 20, 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.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, software, or aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.

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.

Is AI replacing statisticians?

Statistical engineers and statisticians use AI and machine learning tools to analyze data and develop models, but AI is not replacing these roles. Instead, AI enhances their capabilities, requiring professionals to have skills in programming, data analysis, and understanding AI algorithms to interpret and implement AI-driven solutions effectively.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, optimize processes, and ensure data quality to support decision-making in engineering or manufacturing environments.

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 engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can reach or exceed $500,000 annually, especially with bonuses, stock options, or in high-cost-of-living areas. These roles often require advanced skills, extensive experience, and sometimes professional certifications or advanced degrees.
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Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $94,030 per year, or $45.2 per hour.

Statistical Programmer II

Ruri Software Technologies LLC

Tampa, FL • On-site

Full-time

Posted yesterday

Job description

Role: Statistical Programmer II
Location : Tampa, Florida
Job Duties:
Roles and responsibilities she perfomed as a Statistical Programmer I/ Sas Programmer I from
Sep2019 - Jan2021 Includes the follows:
Provide statistical programming support for the reporting of clinical trial results of Phase 1
and Phase 2
Experience working with systems used within the Clinical Trial process.
Generated program as per STDM standards and Documentation of SAS code, log, Output
and report as per SOP guidelines.
Performed CDISC Mapping for Ongoing clinical trials and classified data into domains.
understanding with CDISC SDTM Implementation Guide v3.1.2/ v3.1.3 and SDTM
Model.
Proficient in generating clinical reports for safety analysis in the form of tables and listings.
Developed reports for safety as per study requirements debugging SAS errors and
identifying issues producing reports or analysis data sets and SAS data sets.
Roles and responsibilities she perfomed as a Statistical Programmer II/ Sas Programmer II from
feb2021 - Dec2022 Includes the follows:
Experienced in Writing statistical programs using SAS and R as per requests from internal
or external clients and reviewing the statistical analysis plan (SAP), SDRG and ADRG.
Handling of multiple Projects of client data to analyze Phase II and Phase III Clinical trials
data in various therapeutic areas like Hematology, endocrinology, Dermatology,
Gastroenterology, Immunology, Neurology and Virology to provide statistical
programming by using SAS tools such as SAS/MACROS, SAS/SQL and R experience for
the reporting of clinical trial results.
Involved in error handling, fixing bugs, and overcoming the challenges faced while
developing the code of specified structure of Tables and listings through creating Macros
and macro variables.
Experienced in data validation and data cleaning and worked understanding with CDISC
SDTM Implementation Guide v3.2/v3.3 and SDTM Model checks (through specifications) on
clinical trial datasets and QC of Statistical/ Programming outputs like Analysis Datasets and
aCRF (Case Report Form).
Experienced in creating reports using proc report and derived data sets (SDTM, CDISC,
ADAM) and Generated Define.xml output for FDA regulatory submissions.
Created efficacy customize reports for FDA regulatory submissions and develop to
maintain SAS programs to create SDTM and Adam datasets and created Tables and
Figures to support clinical trials.
Track clinical trial milestones for statistical programming deliverables.
Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and
international regulations, and participate in internal/external audits and regulatory
inspections as required.
Analyzed and validated data sets and SAS outputs with other programmer's outputs and
mockups in SAP using PROC COMPARE, PROC CONTENTS and PROC FREQ. Created
formats for the coded data and used PROC SQL for data validation.

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