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Statistical Engineering Jobs in Missouri (NOW HIRING)

Jobgether

The role combines hands-on statistical work with project leadership, mentoring, quality oversight, and cross-functional collaboration. You will work closely with clinical, programming, regulatory ...

Jobgether

Support the creation and review of analysis datasets, statistical programming specifications, and clinical trial documentation. * Partner with cross-functional teams including clinical, data ...

Ra

Marketing Analytics Manager

Saint Louis, MO · 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 ...

Ra

Marketing Analytics Manager

Buffalo, MO · 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 ...

micro1 AI

Director of Biostatistics

Independence, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Lees Summit, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Columbia, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Kansas City, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Saint Louis, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Jobgether

Join a mission-driven engineering team where your expertise in R, data science, and life sciences ... Develop and maintain R-based solutions for statistical programming, data analysis, visualization ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Missouri

Statistical Engineering information

See Missouri salary details

$57.4K

$67.3K

$75.1K

How much do statistical engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistical engineering in Missouri is $67,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $71,800.00 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 Missouri?

For Statistical Engineering jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Missouri look for?

The top searched job categories for Statistical Engineering jobs in Missouri are:

What cities in Missouri are hiring for Statistical Engineering jobs?

Cities in Missouri with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $67,296 per year, or $32.4 per hour.

Principal Statistician - Ophthalmology

Jobgether

Remote

Full-time

Posted 8 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Statistician - Ophthalmology based in Netherlands.

This is a senior statistical leadership opportunity supporting clinical development programs in ophthalmology within a fully remote European environment. You will provide statistical expertise across the full clinical trial lifecycle, from protocol development through clinical study reporting and regulatory activities. The role combines hands-on statistical work with project leadership, mentoring, quality oversight, and cross-functional collaboration. You will work closely with clinical, programming, regulatory, and sponsor teams to ensure robust study design and high-quality analyses. You will also contribute to complex projects, integrated analyses, submissions, and potentially regulatory agency interactions. With significant responsibility and autonomy, you will help translate complex statistical concepts into clear insights that support critical healthcare decisions.

Accountabilities
  • Serve as a senior statistical resource across clinical development projects, providing expertise throughout the study lifecycle from protocol development through the Clinical Study Report (CSR).
  • Lead or oversee statistical activities for assigned projects, ensuring high-quality deliverables are completed within agreed timelines and according to applicable standards.
  • Develop, review, and oversee Statistical Analysis Plans (SAPs), including well-structured mock-ups for tables, listings, and figures, and collaborate with sponsors as required.
  • Act as Lead Biostatistician when assigned, supporting statistical aspects of protocols, randomization schedules, analyses, and clinical study reports.
  • Provide statistical input into database design, annotated case report forms, analysis datasets, tables, listings, figures, and related programming specifications.
  • Conduct independent review and quality control of statistical deliverables, ensuring analyses are consistent with approved SAPs, specifications, protocols, and expected results.
  • Direct and mentor other biostatistics professionals, contribute to training programs, and support the development of statistical capabilities across the department.
  • Lead complex or multiple projects, including submissions and integrated analyses, and support regulatory agency meetings or responses to statistical questions when needed.
  • Monitor project milestones, workload, timelines, and resource requirements, proactively communicating risks, scope changes, or delivery challenges to management.
  • Represent biostatistics on cross-functional project teams, contributing to internal meetings, strategic discussions, and project decision-making.
  • Participate in Data Safety Monitoring Board (DSMB) and Data Monitoring Committee (DMC) activities, including charter development and independent statistical oversight, with the potential to serve as a voting statistician.
  • Support statistical programming activities as required, including R-based analyses and related statistical deliverables.
  • Ensure project documentation, quality-control records, and statistical programs remain complete, organized, current, and inspection-ready.
  • Contribute to business development activities, including proposals, budgets, and sponsor bid defense meetings.
  • Apply relevant SOPs, work instructions, ICH guidelines, and other applicable regulatory requirements throughout project execution.
Requirements
  • Graduate degree in biostatistics, statistics, or a closely related quantitative discipline.
  • Extensive experience in clinical trials or an equivalent combination of education and professional experience, with a demonstrated ability to lead multiple projects or programs of studies.
  • Strong proficiency in R programming and practical experience applying statistical programming techniques in clinical research.
  • Extensive knowledge of statistical study design, analysis methodologies, clinical research practices, and relevant regulatory requirements.
  • End-to-end experience supporting clinical trials across the lifecycle, from protocol development and study design through analysis and CSR preparation.
  • Experience preparing or reviewing Statistical Analysis Plans, statistical specifications, analysis datasets, tables, listings, figures, and related clinical documentation.
  • Experience with regulatory submissions and interactions with regulatory agencies is highly desirable.
  • Strong leadership and mentoring capabilities, with the ability to guide biostatisticians and contribute to training and professional development.
  • Excellent written and verbal communication skills, with the ability to explain complex statistical concepts clearly to technical and non-technical stakeholders.
  • Strong organizational and prioritization skills, with the ability to manage multiple projects, shifting priorities, deadlines, and competing demands.
  • Collaborative and proactive approach, with the confidence to contribute ideas, challenge assumptions constructively, and work effectively across multidisciplinary and international teams.
  • Fluent in English, with strong reading, writing, speaking, and comprehension skills.
Benefits
  • Fully remote working opportunity within Europe.
  • Flexible environment designed to support collaboration across distributed international teams.
  • Competitive compensation and comprehensive total rewards.
  • Opportunities for career development and professional progression.
  • Supportive and engaged line management.
  • Access to technical and therapeutic-area training.
  • Peer recognition and employee reward programs.
  • Opportunity to work on complex clinical development programs with a meaningful impact on healthcare and patient outcomes.
  • Exposure to multidisciplinary teams, global sponsors, and a broad range of clinical research projects.
  • Opportunities to contribute to innovative statistical approaches, regulatory submissions, and high-impact clinical programs.
  • An inclusive and collaborative working culture that encourages employees to bring their authentic selves to work.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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