Associate Director, Research Biostatistics
At a glance
Director-level Data Science role at CSL. EMEA, CH, Schlieren, CSL Behring · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape statistical plans for discovery and translational studies, then interpret results to guide research decisions
- Analyze preclinical, biomarker, imaging, omics and human research data using methods such as Bayesian analysis and machine learning
- Build statistical methods and reproducible workflows, with hands-on programming primarily in R
- Turn findings into evidence for biomarker validation, candidate selection, project progression and portfolio priorities
- Guide colleagues and external collaborators while contributing to publications, ethics submissions and statistical training
What you bring
- A PhD in statistics or biostatistics, or equivalent experience
- At least eight years applying statistics in preclinical pharma, biotech, healthcare or biomedical research
- A record of developing advanced statistical approaches for biological or translational data
- Experience with statistical programming and reproducible analysis, particularly using R
- Scientific contributions such as publications, conference talks, new methods or analytical tools
Who this fits
This suits a senior, hands-on biostatistician who can lead statistical strategy while doing analysis and method development. You’ll also mentor statisticians and scientists and work with multidisciplinary research teams. The role is based in Switzerland.
From the employer
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.
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.
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