Associate Director, Research Biostatistics

CSL; Zürich; On-site; CHF 180,000 - 210,000; Full time

Job summary

CSL Plasma Inc. seeks an Associate Director, Research Biostatistics to provide strategic statistical leadership across CSL Research programs, partnering with multidisciplinary teams to design studies and analyse complex datasets that support project decisions.

The role blends hands-on study design with advanced analyses (Bayesian methods, causal inference) and development of reproducible workflows in R, plus mentoring of statisticians and collaboration with external partners.

Qualifications

• PhD in Statistics, Biostatistics, or equivalent experience.
• 8+ years applying statistics in pre-clinical pharma/biotech/biomedical research.
• Proven experience with modern statistical programming and reproducible analysis workflows (R).
• Publications or methodological innovations evidence.

Responsibilities

• Provide strategic statistical leadership across discovery, translational, and early programs.
• Lead and perform complex statistical analyses across preclinical, translational, biomarker, imaging, and omics datasets.
• Develop innovative statistical methods and reproducible analytical workflows in R.
• Mentor statisticians and scientists, fostering a culture of excellence and collaboration.
• Collaborate with cross-functional teams and external partners to deliver high-quality outcomes.

Skills

PhD in Statistics

8+ years experience

Advanced stats methodologies

R programming

Publications/contributions

Education

PhD in Statistics/Biostatistics

Tools

R

Job description

The Associate Director, Research Biostatistics provides strategic and scientific statistical leadership across CSL Research programs and translational science initiatives, partnering with multidisciplinary teams to design studies, analyse complex research datasets, and generate decision-relevant evidence that supports project and portfolio progression. The role remains hands‑on, contributing directly to study design, statistical analysis, innovative methodology development, and evidence‑generation strategies that support scientific and portfolio decision‑making across discovery, translational, and early research programs.

Key Responsibilities

• Provide strategic statistical leadership and methodological oversight across discovery, translational, and early research programs, ensuring robust study design, analysis, interpretation, and project decision support.
• Lead and perform complex statistical analyses across preclinical, translational, biomarker, imaging, omics, and human research datasets using advanced methodologies such as Bayesian methods, causal inference, longitudinal modelling, and machine learning.
• Develop and apply innovative statistical methods, reproducible analytical workflows, and statistical programming solutions, particularly in R and related platforms.
• Support biomarker identification, evaluation, and validation activities, contributing to translational evidence‑generation strategies that strengthen research and portfolio decisions.
• Translate complex scientific data into actionable insights that support target evaluation, candidate selection, project progression, portfolio prioritisation, and probability‑of‑success assessments.
• Collaborate with Translational Bioinformatics, Global Biometrics, Data Management, PK/PD, and other quantitative functions, applying state‑of‑the‑art statistical methodologies to address scientific challenges.
• Contribute to scientific publications, ethics submissions, external collaborations, and scientific communications.
• Mentor and develop statisticians, scientists, contractors, and interns, providing scientific leadership and fostering a culture of excellence, collaboration, and continuous learning.
• Champion data‑driven decision making, promote statistical best practices, and deliver training to strengthen analytical capability across the organisation.
• Establish and manage relationships with external collaborators, academic partners, CROs, consultants, and technology providers, ensuring delivery of high‑quality scientific outcomes.

Your Profile

• PhD in Statistics, Biostatistics, or equivalent experience.
• 8+ years of experience applying statistics in a pre‑clinical pharmaceutical, biotechnology, healthcare, or biomedical research environment, supporting discovery, translational, biomarker, or early development programs.
• Demonstrated track record in developing and applying advanced statistical methodologies for biological, translational, biomarker, omics, imaging, or related scientific data.
• Proven experience with modern statistical programming, reproducible analysis workflows, and quantitative computing platforms, particularly R and related technologies.
• Evidence of scientific contribution through publications, conference presentations, methodological innovations, or development of analytical tools and platforms.

Was wir bieten Wir möchten, dass Sie sich bei CSL wohl fühlen. Das ist wichtig und Sie sind es auch. Erfahren Sie mehr darüber, was wir bei CSL bieten. Über CSL Behring CSL Behring ist ein weltweit führendes Unternehmen, das hochwertige Therapeutika für Menschen mit seltenen und ernsten Krankheiten entwickelt und vertreibt. Mit unseren Medikamenten für die Therapiegebiete Immunologie, Hämatologie, Herz-Kreislauf und Stoffwechsel, Atemwegserkrankungen und Transplantationsmedizin halten wir unser Versprechen, die Lebensqualität von Patienten in mehr als 100 Ländern zu verbessern. Erfahren Sie mehr über CSL Behring. CSL soll so vielfältig sein wie die Welt, in der wir leben Als globales Unternehmen mit Mitarbeitenden in über 35 Ländern steht CSL für Vielfalt, Fairness und Inklusion. Erfahren Sie mehr über Vielfalt, Fairness & Inklusion bei CSL. Machen Sie mit Ihrer Arbeit bei CSL einen Unterschied!

CSL is an Equal Opportunity Employer.