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Before School Statistical Consultant Jobs (NOW HIRING)

You will provide expert statistical consultation on trial design and analysis, develop and apply ... Please inform your Manager or your Talent Partner before applying to any internal job opportunities.

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How much do before school statistical consultant jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for before school statistical consultant in the United States is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $55.53 per hour, depending on experience, location, and employer.

What does a Before School Statistical Consultant do?

A Before School Statistical Consultant analyzes data related to educational or program outcomes, often working with schools or organizations to interpret statistical information. They use tools like statistical software and may assist in designing surveys or experiments to support decision-making before school hours.
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Infographic showing various Before School Statistical Consultant job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 17% Part Time, 1% Temporary, and 7% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $83,289 per year, or $40 per hour.

Principal Statistical Methodologist (US)

UCB

Raleigh, NC โ€ข On-site

Full-time

Re-posted 21 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.