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Statistical Engineering Jobs in Minnesota (NOW HIRING)

LanceSoft

Sr Statistician - Exempt

Saint Paul, MN · On-site

$87.70K - $107.90K/yr

Validate statistical analyses performed by other team statisticians using R or SAS programming languages. * Design, plan, and execute biostatistical components of plans for research and development ...

Ra

Marketing Analytics Manager

Minneapolis, MN

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

Medtronic

Sr Biostatistician

Moundsview, MN · On-site

Performs statistical analysis using statistical programming software (e.g., SAS, R etc.) * Validates and provides clear documentation of analysis programs. * Writes Results and Methods sections of ...

Imedica

Actuarial Associate

Minnetonka, MN · On-site

$88.80K - $152.30K/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 ...

Medica

Actuarial Associate

Minnetonka, MN

$88.80K - $152.30K/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 ...

Medtronic

Sr Biostatistician

Moundsview, MN

Performs statistical analysis using statistical programming software (e.g., SAS, R etc.) * Validates and provides clear documentation of analysis programs. * Writes Results and Methods sections of ...

Medtronic

Sr Biostatistician

Moundsview, MN · On-site

Performs statistical analysis using statistical programming software (e.g., SAS, R etc.) * Validates and provides clear documentation of analysis programs. * Writes Results and Methods sections of ...

Tolomatic, Inc.

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 ...

Tolomatic, Inc.

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 ...

company243

Process Engineering Manager

Minneapolis, MN · On-site

$100K - $120K/yr

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

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Statistical Engineering information

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$60K

$70.4K

$78.6K

How much do statistical engineering jobs pay per year?

As of Jun 3, 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.

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 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.

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:
Statistical Engineering jobs near you

Associate Director Statistical Programming (Oncology)

BioNTech SE

Saint Paul, MN • On-site

Full-time

Posted 28 days ago

Job description

Mainz, Germany; Cambridge, US; Gaithersburg, US; London, United Kingdom; Munich, Germany | full time | Job ID: 11350
About the role:
As Associate Director Statistical Programming you will be responsible for working with the Portfolio lead to implement global statistical programming strategy to enable successful project deliverables as well as for leading statistical programming deliverables (e.g., SDTM/ADaM datasets, tables, listings, figures) for assigned studies, ensuring alignment with protocols, statistical analysis plans (SAPs), and timelines.
Your main responsibilities are:
  • Manage internal programmers or external vendors (CROs) to maintain quality, consistency, and compliance with CDISC standards and regulatory requirements
  • Hands-on review, validation, and troubleshooting of SAS/R programs for data transformation, analysis, and reporting. Ensure accuracy of efficacy/safety outputs, perform quality control (QC), and resolve discrepancies in collaboration with Biostatistics and Data Management teams
  • Serve as the primary programming point of contact for study teams and partner with Biostatistics to interpret analysis requirements, with Clinical Operations to address data issues, and with Regulatory Affairs to prepare submission-ready materials (e.g., ISS/ISE, CSR appendices)
  • Manage relationships with outsourced programming partners (CROs), including scope negotiation, timeline oversight, and quality audits. Anticipates resource needs and monitor resource allocation across studies to balance workload and ensure deliverables meet deadlines
  • Develop and implement standardized macros, tools, or workflows to improve efficiency across studies
  • Train junior programmers and CRO staff on BioNTech standards, best practices, and emerging regulatory guidance (e.g., FDA/ICH updates)
  • Provide programming support to the regulatory submissions including data submission package and define.xml development

What you have to offer:
  • Bachelor's degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred
  • 10+ years (5+ years for advanced degree) experience in a pharmaceutical industry, CRO or another clinical research setting
  • Excellent knowledge of statistical programming including SAS/Base, Macro, STAT, GRAPH, SQL, etc.
  • Solid understanding of FDA, EMA, ICH, and global regulations and guidelines
  • Oncology and project management experience is required
  • Strong interpersonal skills in addition to exceptional written and oral communication skills commensurate with the need to work closely with CROs, investigators, consultants, and team members across functions
  • Ability to work in a fast-paced, dynamic, and a team environment

Your benefits and remuneration:
If the position is filled in the US, the Expected Pay Range is XXX,XXX/year to XXX,XXX/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.
Compensation at other locations may vary significantly.
BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.
Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.
How to apply:
Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.
Please note:
Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.
We are looking forward receiving your application.
Inspired? Become part of #TeamBioNTech.
BioNTech, the story
At BioNTech, we are more than just a biotechnology company - we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.
BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!
BioNTech - As unique as you
www.biontech.com

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