Strategic Biostatistics Lead for Research & Translational Data

CSL Vifor; Waltham (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

CSL Vifor is seeking an Associate Director of Research Biostatistics to provide strategic statistical leadership across CSL Research programs from discovery to early development. You will contribute hands-on to study design, analyses, and evidence-generation strategies, applying Bayesian methods, causal inference, and machine learning where appropriate.

The role requires deep statistical expertise, collaboration with Translational Bioinformatics and Global Biometrics, and mentoring of junior

Qualifications

• PhD in Statistics, Biostatistics, or equivalent experience.
• 8+ years of experience applying statistics in pre-clinical/pharmaceutical/biomedical settings.
• Demonstrated track record in advanced statistical methodologies.

Responsibilities

• Provide strategic statistical leadership across discovery, translational, and early research programs.
• Lead and perform complex statistical analyses across diverse datasets.
• Develop innovative statistical methods and reproducible workflows.
• Support biomarker identification and translational evidence-generation.
• Translate complex data into actionable insights for portfolio decisions.
• Collaborate with cross-functional quantitative teams.
• Contribute to scientific publications and external collaborations.
• Mentor statisticians, scientists, and interns in statistical best practices.
• Champion data-driven decision making and statistical training.

Skills

Strategic leadership

Bayesian methods

Causal inference

Longitudinal modelling

Machine learning

R programming

Statistical programming

Mentoring

Data-driven decisions

Education

PhD in Statistics/Biostatistics

Tools

R

Job description

CSL Vifor is seeking an Associate Director of Research Biostatistics to provide strategic statistical leadership across CSL Research programs from discovery to early development. You will contribute hands-on to study design, analyses, and evidence-generation strategies, applying Bayesian methods, causal inference, and machine learning where appropriate.

The role requires deep statistical expertise, collaboration with Translational Bioinformatics and Global Biometrics, and mentoring of junior