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Statistical Engineering Jobs in Minnesota (NOW HIRING)

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 ...

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

Actuarial Associate

Minnetonka, MN · On-site

$88K - $152K/yr

Use statistical programming and database tools for modeling and forecasting. * Analyze historical data to identify trends and develop future projections. * Apply actuarial principles to complex ...

Actuarial Associate

Minnetonka, MN · On-site

$88K - $152K/yr

Use statistical programming and database tools for modeling and forecasting. * Analyze historical data to identify trends and develop future projections. * Apply actuarial principles to complex ...

Engineering Manager

Hamel, MN · On-site

$141K - $155K/yr

Promote disciplined, end to end engineering workflows connecting digital design and simulation to physical validation and production, applying statistics, Lean Six Sigma principles, and pragmatic AI ...

Apply Early

Engineering Manager

Hamel, MN · On-site

$141K - $155K/yr

Promote disciplined, end to end engineering workflows connecting digital design and simulation to physical validation and production, applying statistics, Lean Six Sigma principles, and pragmatic AI ...

Description The Process Engineering Manager is responsible for leading and mentoring the ... of statistical methods including statistical problem solving. § Highly developed written and ...

Industrial Staff Engineer

Minneapolis, MN · On-site

$73K - $98K/yr

... Engineering or related degree. Will consider equivalent experience in lieu of a degree. * Demonstrated experience using various modeling techniques, statistical methods and planning tools used in ...

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Statistical Engineering information

See Minnesota salary details

$60K

$70.4K

$78.6K

How much do statistical engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for statistical engineering in Minnesota is $70,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $75,200.00 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 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 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 Minnesota? For Statistical Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Minnesota look for? The top searched job categories for Statistical Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Statistical Engineering jobs? Cities in Minnesota with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Minnesota as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,429 per year, or $33.9 per hour.

Statistical Programmer II

LivaNova

Minneapolis, MN • On-site

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 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

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.


Notice to third party agencies:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.


Beware of Job Scams:

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees. The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment. If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" onhttps://www.livanova.com/en-us/careers, and check that all recruitment emails come from an @livanova.com email address.