Associate Director, Research Biostatistics

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

Job summary

CSL is seeking an Associate Director, Research Biostatistics to provide strategic statistical leadership across discovery and translational programs. You will design studies, perform advanced analyses, and develop innovative methods in R to support portfolio decisions.

The role demands a PhD with 8+ years of experience in pharma/biotech settings, a strong track record in translational statistics, and the ability to mentor junior staff while publishing and presenting methodological work.

Qualifications

• PhD in Statistics, Biostatistics, or equivalent.
• 8+ years applying statistics in pre-clinical pharma, biotech, healthcare, or biomedical research.
• Proven track record with advanced statistical methods for omics, imaging, or translational data.
• Experience with modern statistical programming, reproducible workflows.

Responsibilities

• Provide strategic statistical leadership across discovery, translational, and early research programs.
• Lead complex analyses across preclinical to human datasets using Bayesian, causal, ML methods.
• Develop reproducible workflows and analytical solutions in R and related platforms.
• Support biomarker evaluation, translational evidence-generation, and portfolio decisions.
• Translate data into actionable insights for target evaluation and candidate selection.
• Collaborate with cross-functional teams including bioinformatics, PK/PD, and data management.
• Contribute to scientific publications, ethics submissions, and external collaborations.
• Mentor statisticians and scientists, fostering excellence and continuous learning.
• Promote data-driven decisions and statistical best practices across the organization.
• Manage relationships with external partners and CROs to ensure high-quality outcomes.

Skills

Statistical leadership

Bayesian methods

Causal inference

Longitudinal modelling

Machine learning

R programming

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.