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Role Description

The Patient-Centered Outcomes (PCO) team at Lumanity is seeking a Statistician to join our growing statistics group. This position can be based in the US (preferred), with flexible working arrangements; UK or EU considered.

We are looking for candidates with a proven track record in life sciences consulting and expertise in applying advanced statistical methods to patient-reported outcomes (PROs.

In this role, you will:

• Design and execute statistical analyses for PRO data in standalone studies.
• Conduct post-hoc analyses of clinical trial data to uncover additional value in study treatments.
• Translate complex statistical results into evidence that meets regulatory, clinical, and payer expectations.
• Serve as a trusted advisor to clients and stakeholders on PRO statistical strategies within drug development pipelines.

This is a career-growth opportunity, with the hiring title determined by experience. You will start by contributing statistical expertise under the guidance of senior leaders, progressing to independently managing the full research pipeline, from study design through data analysis to final reporting.

Qualifications

• Master’s degree or higher in Statistics or Biostatistics, with 3–5 years of experience in a life sciences consultancy.
• Proficiency in methods tailored for skewed, bounded, longitudinal, and missing PRO data, including:
  • Mixed Models for Repeated Measures (MMRM)
  • Analysis of Covariance (ANCOVA)
  • Logistic Regression
  • Non-parametric tests (e.g., Wilcoxon Rank-Sum)
  • Multiple Imputation or likelihood-based methods for missing data
  • Sensitivity analyses for post-hoc scenarios
• Comprehensive familiarity with frameworks that guide statistical methods for PROs, including:
  • FDA’s Patient-Focused Drug Development Guidance Series and disease-specific guidances
  • HTA Coordination Group JCA Dossier guidance
  • EMA’s Reflection Paper on patient experience data
  • ICH E9(R1) Statistical Principles for Clinical Trials: Addendum on Estimands and Sensitivity Analysis
  • FDA’s 2017 draft guidance on Estimands in Clinical Trials
• Proficiency in R, including packages for longitudinal and categorical data analysis, and the wider tidyverse suite.
• Skilled in preparing statistical analysis plans and technical reports using standardized templates to ensure efficiency and consistency.
• Exceptional written and verbal communication skills, with the ability to translate complex statistical concepts into clear, actionable insights for diverse audiences.
• Strong problem-solving abilities and adaptability in fast-paced environments.
• Skilled in partnering with clients during high-stakes projects, balancing responsiveness with scientific rigor.
• Proven ability to collaborate respectfully and effectively within cross-functional, mixed-methods research teams.
• Experience leveraging emerging AI tools to scale statistical programming and enhance scientific writing efficiency.

Requirements

• Experience designing studies using non-interventional data or devising statistical approaches to analyze PROs in interventional studies.
• Experience designing and analyzing Discrete Choice Experiments (DCE) and other stated-preference methodologies (e.g., Best-Worst Scaling, Conjoint Analysis) is sought, though not required for this job.
• Maintain strong Sponsor relationships by delivering scientifically rigorous analyses designed to meet client and program needs, balancing methodological precision with practical decision-making.

Benefits

• Competitive salary plus bonus scheme.
• Medical, dental, and vision insurance options.
• 401(k) plan with employer match.
• Generous amount of paid time off annually + 10 paid holidays.
• Flexible spending accounts for health and dependent care.
• Employee Assistance Program.
• Paid short-term and long-term disability coverage and more.