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Statistical Engineering Jobs in Minnesota (NOW HIRING)

Medtronic

Sr. Industrial Engineer

Plymouth, MN

$131K - $148K/yr

Utilize Modeling capacity through statistical data analysis. Develop and facilitate various ... Requires a Master's degree in Mechanical, Industrial, Biomedical or Electronics Engineering or ...

Medtronic

Sr. Industrial Engineer

Plymouth, MN · On-site

$131K - $148K/yr

Utilize Modeling capacity through statistical data analysis. Develop and facilitate various ... Requires a Master's degree in Mechanical, Industrial, Biomedical or Electronics Engineering or ...

Medtronic

Sr. Industrial Engineer

Plymouth, MN · On-site

$131K - $148K/yr

Utilize Modeling capacity through statistical data analysis. Develop and facilitate various ... Requires a Master's degree in Mechanical, Industrial, Biomedical or Electronics Engineering or ...

Premier Marine

Engineering Technician

Big Lake, MN · On-site

$28 - $35/hr

Job Summary The Engineering Technician will support Premier Marine's Assembly Line by ensuring ... Understanding of Statistical Process Control. * Strong analytical and problem-solving skills.

Premier Marine

Engineering Technician

Big Lake, MN · On-site

$28 - $35/hr

Job Summary The Engineering Technician will support Premier Marine's Assembly Line by ensuring ... Understanding of Statistical Process Control. * Strong analytical and problem-solving skills.

UnitedHealth Group

Sr Industrial Engineer

Eden Prairie, MN · On-site +1

$43.50 - $59.75/hr

Apply industrial engineering fundamentals, advanced statistical modeling, and emerging technologies to develop practical, datadriven solutions that improve efficiency, quality, and scalability.

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Minnesota

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:
Statistical Engineering jobs near you
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.

Director Biostatistics (Oncology)

BioNTech SE

Saint Paul, MN • On-site

$168K - $268K/yr

Full-time

Re-posted 5 days ago

Job description

London, United Kingdom; Cambridge, US; Mainz, Germany; Munich, Germany | full time | Job ID: 11338
About the role:
As Director of Biostatistics you will represent Statistics in all assigned cross-functional clinical study teams and other projects and hold yourself accountable for all statistical aspects. You will serve as the biostatistics lead core team member for all assigned programs and provide statistical input into clinical development plans, clinical study protocols, clinical study reports, regulatory submission documents, and publications ensuring accurate deliverables.
Your main responsibilities are:
  • Work as part of a collaborative, cross-functional team with members from other disciplines
  • Perform and/or verify sample size calculations
  • Lead development of statistical analysis plans and TLFs, perform statistical analyses and validate analysis results
  • Participate in planning for health authority meetings, development of associated documents, and the preparation of associated responses
  • Oversee outsourced statistical CRO activities and deliverables ensuring highest quality and in a timely manner
  • Support and participate in the development of departmental strategies, and cross functional initiatives on standards/ infrastructures/ processes
  • Assumes possible line management responsibilities of junior staff and is responsible for recruiting, developing, and retaining talent
  • Provide guidance to Statistical Programmers on SDTM/ADaM and TLFs specifications development and programming
  • Provide input to database requirements and work closely with Clinical Data Manager to ensure data quality standards are met

What you have to offer:
  • PhD or Masters in (Bio)Statistics, Mathematics or equivalent
  • Minimum 10 years (13 years for masters) in the pharmaceutical industry and/or CRO
  • At least 5 years of work/leadership experience, overseeing statistics staff (internal as well as outsourced) and in representing Biostatistics in a matrix organization and in a multidisciplinary team
  • Experiences in planning, conducting and analyses of oncology or infectious diseases trials from phase I-IV, including scientific publications
  • Experience in leading to health authority questions (FDA, EMA) and in leadings statistics on regulatory submissions, including developing ISE/ISS packages
  • Very good knowledge and experience of clinical development, study designs, advanced statistical methods (adaptive design and/or Bayesian is a Plus), regulatory guidelines (ICH, FDA, EMA)
  • Very good knowledge of statistical analysis software (SAS or R) and sample size calculation software (e.g., EAST and/or NQuery)
  • Deep understanding of special topics like Diagnostics, Biomarker, PK/PD, PRO, RWE, is a plus
  • Excellent analytical skills and ability to analyze complex issues to develop relevant and realistic plans, programs, recommendations, risk mitigation strategies, and the ability to communicate them to cross functional colleagues
  • Strong drive for achieving high quality working results in a timely manner, while always safeguarding ethical standards in work and behaviors
  • Excellent communication skills:
    • the ability to express complex analysis in clear language
    • an excellent command of English written spoken

Your benefits and remuneration:
If the position is filled in the US, the Expected Pay Range is $168,000/year to $268,700/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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