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Statistical Engineering Jobs in Raleigh, NC (NOW HIRING)

PK parameter pooling Experience * 8+ years of statistical programming experience in the pharmaceutical or CRO environment. * Demonstrated experience as a Lead Programmer or technical lead. * Prior ...

PK parameter pooling Experience * 8+ years of statistical programming experience in the pharmaceutical or CRO environment. * Demonstrated experience as a Lead Programmer or technical lead. * Prior ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise. * Author or review analysis dataset and TLF specifications * Validation programming of ...

Principal Biostatistician - FSP

Durham, NC ยท On-site +1

$115K - $130K/yr

In this role you will develop and review Statistical Analysis Plans for data presentation, analyses, and provide programming support to your multidisciplinary global project team. About the team You ...

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

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

Special expertise in more complex statistical analytical methods not well known to all biostatisticians. * Established expertise in a medical therapeutic area. * Established a long-term high-level ...

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

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Statistical Engineering information

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 Raleigh, NC? For Statistical Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Raleigh, NC look for? The top searched job categories for Statistical Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Statistical Engineering jobs? Cities near Raleigh, NC with the most Statistical Engineering job openings:
Principal Statistical Methodologist (US)

Principal Statistical Methodologist (US)

UCB

Raleigh, NC โ€ข On-site

Full-time

Posted 25 days ago


Job description

Make your mark for patients
We are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in Raleigh (US).
About the role You will help shape how evidence is generated and communicated across the drug development lifecycle-from early clinical development to regulatory approval and lifecycle work. You will provide expert statistical consultation on trial design and analysis, develop and apply advanced methods, and translate complex quantitative concepts into clear insights for cross-functional partners. You will also contribute to scientific communications and external collaboration through publications and industry initiatives.
Who you will work with You will be part of a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values curiosity and problem solving, practical innovation, clear communication, and collaboration-bringing novel statistical approaches into real study decisions and sharing learnings with the wider scientific community.
What you will do
  • Provide statistical consultation on clinical trial design and analysis across multiple development stages and therapy areas.
  • Develop and implement innovative statistical approaches, including model-based methods using frequentist and Bayesian techniques.
  • Run or guide advanced analyses and simulations to inform design options, sample size, and power trade-offs.
  • Communicate complex quantitative topics clearly using visuals, simulations, and plain language for diverse audiences.
  • Contribute to internal learning by delivering training on advanced statistical concepts for non-statisticians and statisticians.
  • Contribute to the group's external profile through scientific publications, conference presentations, and participation in cross-industry initiatives and working groups.

Interested? Here is what we are looking for
  • Doctoral degree in statistics, mathematics, or a closely related scientific discipline.
  • 3+ years of experience working in biostatistics within the pharmaceutical industry. Experience in statistical methodology for clinical development (early to late stage) is an advantage.
  • Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage.
  • Strong statistical programming skills (R preferred; equivalent tools considered).
  • Sound knowledge of ICH guidelines and understanding of regulatory requirements from major health authorities.
  • Ability to work effectively with autonomy, manage multiple priorities, and deliver timely, high-quality outputs.

Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.
Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Requisition ID: 93379
Recruiter: Kevin Ross
Hiring Manager: Baldur Magnusson
Talent Partner: Natacha Tassier
Job Level: MM II
Please consult HRAnswers for more information on job levels.