What are the responsibilities and job description for the Statistician position at Lumanity?
Overview/About Lumanity
Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies worldwide to:
About The Role
Responsibilities / Position overview
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:
Core Job Responsibilities
Scientific Leadership & Study Execution
Qualifications
We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance:
Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies worldwide to:
- Generate robust evidence demonstrating product value
- Translate science and data into compelling product narratives
- Enable strategic commercial decisions that position products for market success
About The Role
Responsibilities / Position overview
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
Core Job Responsibilities
Scientific Leadership & Study Execution
- Design studies using non-interventional data or devise statistical approaches to analyze PROs in interventional studies, enabling robust and meaningful insights.
- Experience also designing and analyzing Discrete Choice Experiments (DCE) and other stated-preference methodologies (e.g., Best-Worst Scaling, Conjoint Analysis) to quantify patient preferences and inform product development and market access strategies is sought, though not required for this job.
- Develop detailed statistical analysis plans, execute data analyses, interpret findings, and prepare clear, comprehensive reports.
- Conduct post-hoc analyses of clinical trial data to identify additional treatment benefits or insights related to PROs.
- Compile and author statistical sections of COA dossiers, integrating evidence to support regulatory and market access submissions.
- Maintain strong Sponsor relationships by delivering scientifically rigorous analyses designed to meet client and program needs, balancing methodological precision with practical decision-making.
Qualifications
- Education & Experience: Master’s degree or higher in Statistics or Biostatistics, with 3–5 years of experience in a life sciences consultancy.
- Statistical Expertise for PROs: 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
- Regulatory Knowledge: 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
- Technical Skills:
- Proficiency in R, including packages for longitudinal and categorical data analysis, and the wider tidyverse suite
- Experience working in a regulated programming environment
- Documentation & Reporting: Skilled in preparing statistical analysis plans and technical reports using standardized templates to ensure efficiency and consistency.
- Soft Skills:
- 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
- Innovation: Experience leveraging emerging AI tools to scale statistical programming and enhance scientific writing efficiency.
We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance:
- 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