1

Statistical Engineering Jobs in Minnesota (NOW HIRING)

Statistical Programmer II

Minneapolis, MN ยท On-site

$90K - $100K/yr

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

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

Senior Statistician - PVH

Moundsview, MN ยท On-site +1

$92K - $113K/yr

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

Senior Statistician - PVH

Moundsview, MN ยท On-site +1

$92K - $113K/yr

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

Senior Statistician - PVH

Moundsview, MN ยท On-site +1

$92K - $113K/yr

We anticipate the application window for this opening will close on - 14 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to

Company Description About Client: They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!! Job

Company Description Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on

Director of Biostatistics

Rochester, MN ยท Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Director of Biostatistics

Saint Paul, MN ยท Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

next page

Showing results 1-20

Statistical Engineering information

See Minnesota salary details

$60K

$70.4K

$78.6K

How much do statistical engineering jobs pay per year?

As of Sep 13, 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 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.

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 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.

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 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 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 August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $70,429 per year, or $33.9 per hour.

Manager, Statistical Programming

Minneapolis, MN โ€ข On-site

Linn Products, Inc
201 - 500 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Reporting to the Director, Statistical Programming, the Manager, Statistical Programming is responsible for overseeing statistical programming activities for the assigned projects from study planning through database lock, reporting, and regulatory submission. This person provides technical leadership and statistical programming expertise to ensure timely, high-quality, and compliant delivery of clinical trial programming deliverables. The Manager, Statistical Programming is a department-level contributor who collaborates closely with Biostatistics, Clinical Development, Data Management, Regulatory Affairs, Medical Writing, and CRO/vendor partners. The core duties and responsibilities of the Manager, Statistical Programming are delineated below.
Responsibilities:
Department Level
  • Contributes to the development, review, and implementation of departmental SOPs, programming standards, templates, and processes.
  • Supports continuous improvement initiatives to enhance programming quality, efficiency, standardization, and compliance.
  • Contributes to the development and maintenance of reusable programming tools, macros, and automation solutions.
  • Supports resource planning and prioritization across assigned studies and programming activities.
  • Provides technical guidance, mentoring, and knowledge sharing to statistical programmers.
  • Participates in departmental and cross-functional initiatives as appropriate.
  • Contributes to inspection readiness activities and supports departmental responses to programming-related questions or requests

Statistical Programming/Study Tasks
  • Represents Statistical Programming in study team meetings and provides programming input throughout the clinical development lifecycle.
  • Leads and oversees statistical programming activities for assigned clinical studies, including SDTM, ADaM, and Tables, Listings, and Figures (TLFs).
  • Develops, reviews, and/or oversees SAS programs for clinical study deliverables, analysis datasets, and reporting outputs.
  • Reviews and provides input on programming specifications, dataset documentation, validation results, and final deliverables.
  • Ensures statistical programming deliverables are completed according to timelines, quality standards, SOPs, CDISC standards, and regulatory requirements.
  • Supports regulatory submission activities, including preparation and review of SDTM/ADaM datasets, Define-XML, annotated CRF, cSDRG, ADRG, and related submission documentation.
  • Supports clinical publications, abstracts, posters, manuscripts, and external scientific communications through programming deliverables, analysis datasets, tables, listings, and figures.
  • Supports ad hoc analyses, exploratory analyses, and data requests to address clinical development, safety, and business needs.
  • Supports real-world evidence (RWE) initiatives through programming, data preparation, analysis dataset development, and reporting using real-world data sources where applicable.
  • Coordinates and supervise programming activities with CROs and external service providers to ensure quality, consistency, and timely delivery of assigned programming activities.
  • Monitors progress of programming activities and proactively identifies risks, issues, and opportunities for mitigation.
  • Reviews clinical data outputs and programming results to ensure accuracy, completeness, and compliance with specifications.
  • Provides technical support and guidance to resolve complex programming issues.
  • Works independently and collaboratively toward assigned study goals and departmental objectives.

Qualifications:
  • Minimum of eight (8) years of statistical programming experience within the pharmaceutical, biotechnology, CRO, or healthcare industry.
  • Strong proficiency in SAS programming within clinical trial environment.
  • Strong knowledge and practical experience with CDISC standards, including SDTM and ADaM.
  • Experience developing, reviewing, and validating clinical trial datasets and Tables, Listings, and Figures (TLFs).
  • Experience supporting clinical studies from study start-up through database lock, reporting, and regulatory submission.
  • Knowledge of regulatory submission requirements and experience supporting submissions to health authorities such as FDA, EMA, or PMDA.
  • Experience with clinical trial programming documentation, validation processes, and quality control practices.
  • CRO/vendor oversight experience preferred.
  • Demonstrated ability to manage multiple priorities while maintaining strong attention to detail and quality.
  • Excellent verbal, written, and interpersonal skills, with the ability to communicate effectively and collaborate with cross-functional teams in a remote/global environment.
  • Experience with Pinnacle 21 or similar CDISC validation tools preferred.
  • Experience with SAS macros, automation, and programming efficiency initiatives preferred.
  • Experience with R, Python, or other programming technologies preferred.

About Us:
Celcuity is a commercial biotechnology company pursuing development of targeted therapies for treatment of multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), a potent, pan-PI3K and mTORC1/2 inhibitor that comprehensively blockades the PAM pathway. REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on prior endocrine therapy in the metastatic setting.
The Phase 3 VIKTORIA-2 trial is evaluating gedatolisib in combination with palbociclib and either fulvestrant or letrozole for the first-line treatment of HR+/HER2- locally advanced or metastatic breast cancer. A Phase 1/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is ongoing.
Celcuity is an Equal-Opportunity Employer.
Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $160,000 - $185,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate's geography, qualifications, skills, and experience.
The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.
Notice to Recruiters/Staffing Agencies
Recruiters and staffing agencies should not contact Celcuity through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees directly.
We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file. Celcuity's receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Celcuity and such organization and will be considered unsolicited. Celcuity will not be responsible for related fees.