The Head of Statistical Analytics is responsible for leading a global team of biostatisticians and providing statistical oversight across the Research Therapeutic Areas (TAs).

The incumbent will lead the creation of Research Statistical Analytics strategy in collaboration with Therapeutic Area Leads, Function Heads and other key stakeholders.

S/he works closely with the Development organization to ensure good coordination across the R&D pipeline. Contributes to the creation of a data-driven culture, related competencies, and data literacy. Accountable for the training, coaching, support, and professional development of statistical talent. Together with the team contributes statistical input towards experimental designs, statistical analyses, interpretation and reporting of research studies, to ensure efficient use of resources as well as robust conclusions and deliveries following regulatory requirements and guidelines. S/he oversees statistical design and analysis routines in experiments that translate development strategies into plans to support product development objectives, including process control and validation strategies.

S/he provides statistical advice for contacts with regulatory agencies for pre-clinical R&D topics, e.g., in animal ethics applications. Contributes statistical input for regulatory filings for product approvals, for on-market support, and for scientific publications. Coordinates with other data analysis/computational experts (Data Managers, Bioinformaticians, Imaging & AI Analysts, PK/PD/Pharmacometricians, etc.) both in house and externally, to ensure that CSL R&D is current and compliant in statistical methods.

S/he organizes statistical training of Research staff and keeps raising and maintaining basic competence around the scientific data analysis thought process as well as in the use of standard platforms (e.g., Prism, SAS JMP, R and Electronic Lab Notebook).

S/he develops and manages national and international strategic collaborations (internal and external) with the goal of improving the delivery of innovative statistical methods to stakeholders of different levels.

Your skills and experience

PhD in Statistics, Biostatistics, or equivalent experience. University Degree in Mathematics/Statistics or Applied Mathematics/Statistics.
6+ years’ experience in pre-clinical statistical setting involving strategy setting, team and stakeholder management, change management and statistical thinking in development, validation and analysis of biological assays/biomarkers, experimental design and analysis, and general.
Experience as a group lead in the biotechnology or pharmaceutical industry (or where relevant a biomedical research organisation) would be an asset.
Solid understanding of statistical principles and methods applicable to the pre-clinical research setting, e.g., experimental design and analysis, random sampling, validation, and optimization.
Leadership, mentoring and stakeholder management skills. Strategic thinker with excellent problem solving and decision-making skills.
Strong interpersonal and communication skills (verbal and written in English) bridging scientific and business needs. Change management and influencing skills.
Ability to build communities, partnerships, and collaborative environments. Excellent time management and multi-tasking skills.
About Us

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About CSL Behring

CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring.

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