Director, Statistician (HEOR)

Red Nucleus; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading biopharmaceutical solutions provider is seeking a Director or Sr Director, HEOR Statistician to lead advanced statistical analysis specific to health economics and outcomes research (HEOR). This remote role allows for flexibility within the UK. Ideal candidates will have over 5 years of experience and a strong background in statistical methodologies, data interpretation, and effective communication of complex findings. This position offers a unique opportunity to work closely with innovative teams and contribute to impactful healthcare solutions.

Qualifications

• 5+ years of experience in statistical analysis and modelling in a business or research setting.
• Proven track record of applying advanced statistical methods to real-world problems.
• Excellent analytical, problem-solving, and critical-thinking abilities.

Responsibilities

• Lead advanced statistical analysis for HEOR, meta-analysis, and real-world evidence analyses.
• Conduct analyses of clinical trial IPD and patient-reported outcomes.
• Prepare detailed protocols, reports, dashboards, and presentations.
• Provide guidance and mentorship to junior statisticians.

Skills

Statistical methods for HEOR

Data interpretation

Communication of complex findings

Statistical software proficiency (e.g., R, SAS, Python)

Data visualization tools (e.g., Tableau, Power BI)

Education

Master’s or Ph.D. in Statistics, Mathematics, Data Science, or related field

Tools

R

SAS

Python

Tableau

Power BI

Job description

Red Nucleus is expanding and hiring a Director or Sr Director, HEOR Statistician. This role can be remote based in the US, Canada, or the UK.

COMPANY DESCRIPTION:

Red Nucleus is a premier provider of global solutions for R&D, Medical Affairs, Value & Evidence, and Commercial teams within biopharmaceutical, medical device, and diagnostics industries. Squarely focused on the life sciences industry for more than 30 years, Red Nucleus takes pride in our long‑term relationships with industry leaders, as well as our strategic partnerships with innovative startups. We are focused on developing thoughtful, high‑quality solutions that are in accordance with each client’s unique culture and needs. Our clients trust us to build impactful, award‑winning programs that deliver actionable insights and measurable results.

Job Overview

The Principal Statistician will lead advanced statistical analysis for HEOR, meta‑analysis and indirect treatment comparisons and real‑world evidence analyses to support data‑driven decision‑making in the HEOR business unit. This role involves designing experiments, developing predictive models, and providing actionable insights to improve business strategies and outcomes. The ideal candidate is highly skilled in statistical methodologies, data interpretation, and communication of complex findings to non‑technical stakeholders.

Responsibilities

• Statistical Analysis & Modeling
  • Apply statistical methods commonly used in HEOR, including survival analysis, time‑to‑event modelling, mixed‑effects models, generalized linear models
  • Conduct analyses of clinical trial IPD, real‑world evidence (claims, registry, EHR), and patient‑reported outcomes
  • Carry out indirect treatment comparisons (including the more advanced techniques such as MAIC, STC and ML‑NMR)
• Data Management & Quality
  • Ensure data integrity and accuracy through rigorous validation and cleaning processes.
  • Develop code library that is fully validated and ready to use
  • Implement automation where that is relevant and leads to better quality and improved results
  • Develop programmes/algorithms that can be used by more junior resources to perform relatively routine tasks related to the HEOR statistics and are already used by many of our competitors (e.g. survival curve reading and extrapolation, etc.)
  • Work with Modeling team to understand the evolving need of inputs
• Reporting & Communication
  • Prepare detailed protocols, reports, dashboards, and presentations for technical and non‑technical audiences.
  • Translate statistical findings into clear, actionable insights for business leaders.
• Leadership & Mentorship
  • Provide guidance and mentorship to junior statisticians.
  • Stay current with emerging statistical techniques and tools
  • Share best practices with the team.

Education, Experience, Training, and Knowledge

Education

• Master’s or Ph.D. in Statistics, Mathematics, Data Science, or a related field.

Experience

• 5+ years of experience in statistical analysis and modelling in a business or research setting.
• Proven track record of applying advanced statistical methods to real‑world problems.

Skills & Abilities

• Proficiency in statistical software (e.g., R, SAS, Python) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of probability theory, hypothesis testing, and experimental design.

• Excellent analytical, problem‑solving, and critical‑thinking abilities.
• Strong communication skills to convey complex concepts clearly.