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Statistical Engineering 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 ...

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 ...

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 ...

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 ...

Monitise

AI Engineer

Alpharetta, GA

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Georgia

Statistical Engineering information

See Georgia salary details

$51.6K

$60.5K

$67.6K

How much do statistical engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical engineering in Georgia is $60,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $64,600.00 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 quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Georgia? For Statistical Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Georgia look for? The top searched job categories for Statistical Engineering jobs in Georgia are:
What cities in Georgia are hiring for Statistical Engineering jobs? Cities in Georgia with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

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.

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