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Statistical Engineer Jobs in Georgia (NOW HIRING)

LivaNova

Statistical Programmer II

Atlanta, GA

$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 ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110K - $132K/yr

Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any ...

Symbiotic Services

Process Engineer

Ball Ground, GA

Promote Statistical Engineering, Systems Thinking, and Lean Manufacturing principles. Transfer process knowledge and technologies to maintenance and production teams. Support plant initiatives aimed ...

Monitise

AI Engineer

Alpharetta, GA · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Ra

Marketing Analytics Manager

Atlanta, GA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Wood Plc

Environmental Statistician

Kennesaw, GA · On-site +1

... engineering field * Well-versed in R, MATLAB, or other similar statistical software, familiarity with USEPA's ProUCL and/or PNNL's Visual Sample Plan * At least 5 years of experience with non ...

Autodesk

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Perform statistical analysis and data exploration to generate datasets for model training ... Work closely with engineers, MLOps, and product partners to deploy, monitor, and iterate on ML ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

Required : • Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field • 1+ years of professional experience building and deploying ...

Absolics Inc

Inline Monitoring (IM) Engineer

Covington, GA · On-site

$100K - $150K/yr

This role focuses on utilizing Statistical Process Control (SPC) and inline data to detect process ... The IM Engineer serves as a guardian of the production line, ensuring that every process step ...

Absolics Inc

Inline Monitoring (IM) Engineer

Covington, GA · On-site

$100K - $150K/yr

This role focuses on utilizing Statistical Process Control (SPC) and inline data to detect process ... The IM Engineer serves as a guardian of the production line, ensuring that every process step ...

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All JobsStatistical Engineer JobsStatistical Engineer Jobs in Georgia

Statistical Engineer information

See Georgia salary details

$27.9K

$79.4K

$122.9K

How much do statistical engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical engineer in Georgia is $79,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $91,600.00 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.
What are popular job titles related to Statistical Engineer jobs in Georgia? For Statistical Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineer jobs in Georgia look for? The top searched job categories for Statistical Engineer jobs in Georgia are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in Georgia as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $79,397 per year, or $38.2 per hour.

Statistical Programmer II

LivaNova

Atlanta, GA

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

Come join a great company and be part of a dynamic, growing team of programmers. Put your expertise to great use as we improve our programming standards and processes to develop best-in-class programming outputs. 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 therapies, as well as togenerate evidence for marketed devices. This talented team also supports additional programming activities for clinical operations and other areas of the company, including R&D and Quality.


The Role

  • The Statistical Programmer will support programming activities for multiple projects on clinical study reports and publications.

  • Accountable for clinical statistical programming deliverables and for ensuring excellence in programming activities in terms of quality and timelines for clinical trials under the responsibility of Statistics & Data Management.

  • Collaborate with Statistics, Data Management, Clinical, and vendor teams to clarify requirements and resolve data or programming issues.

  • Develop, validate, and maintain SAS programs in accordance with study requirements, internal standards, and SOPs

  • Contribute to the creation, validation, and documentation of SDTM and ADaM datasets.

  • Responsible for producing programming outputs, validation, and related documentation to ensure accuracy, consistency, and traceability.

  • Ensure deliverables meet expectations in terms of timelines and quality, regulatory and key user group requirements (e.g., CDISC), operational efficiency, and alignment with the study's clinical and statistical objectives.

  • Provide input into SAP, analysis specifications, and data presentations for clinical trials.

  • Support ongoing workflow modernization, migration activities, and standardization initiatives.

  • Participate in process improvement activities related to programming efficiency, quality, and standardization.

Minimum Requirements

  • Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field.

  • Relevant experience in clinical trial programming, clinical data analysis, statistical programming, or regulated data environments.

  • Strong SAS programming skills, including data step, procedures, macros, and debugging.

  • Ability to write clear, validated, reusable, and well-documented code.

  • Understanding of programming quality control, validation, and traceability expectations.

  • Working knowledge of CDISC standards, especially SDTM and ADaM.

  • Ability to support dataset creation, validation, listings, tables, figures, and ad hoc analyses.

  • Understanding of clinical trial data flow from data collection to analysis/reporting.

  • Strong attention to detail and quality.

  • Ability to work independently on assigned tasks with appropriate guidance.

  • Good communication skills and ability to collaborate with Statistics, Data Management, Clinical, and external vendors.

  • Ability to manage priorities and timelines in a changing project environment.

Desired Qualifications

  • Experience with R, Python, SQL, Git, or other modern programming/version control tools.

  • Experience with SAS Enterprise Guide or other SAS-based clinical programming environments.

  • Experience supporting medical device, neuromodulation, or cardiovascular/respiratory studies.

  • Familiarity with data visualization, dashboards, automation, or workflow improvement.

  • Experience working with vendors or cross-functional global teams.

  • Understanding of controlled programming environments, SOPs, and audit-ready documentation.

Pay Transparency

  • A reasonable estimate of the annual base salary for this position is $90,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and are awarded based on experience.


Employee benefits include:

  • Health benefits - Medical, Dental, Vision

  • Personal and Vacation Time

  • Retirement & Savings Plan (401K)

  • Employee Stock Purchase Plan

  • Training & Education Assistance

  • Bonus Referral Program

  • Service Awards

  • Employee Recognition Program

  • Flexible Work Schedules

Welcome to impact. Welcome to innovation. Welcome to your new life.

Apply