Good afternoon AllStat

Our Client is looking to hire a talented Associate Director, Statistical Science in a permanent role, based in Switzerland. 

In this challenging and dynamic role you will be a global lead for providing the statistical strategy and support of multiple areas within the biomedical research departments. They are responsible for the discussion and implementation of modern and innovative experimental designs, statistical models, and analysis methodologies that optimize the drug discovery program or platform for various indications. You will set the strategic direction for addressing statistical issues in regulatory submissions, and directly influence drug development decisions with internal and external partners.

Responsibilities 
•Provide strategic statistical scientific global leadership to the pre-clinical research programs, comprising all relevant technical and disease area knowledge
•Provide basic statistics training to research colleagues
•Develop automated analysis platform
•Drive and steer the strategic quantitative framework for pre-clinical programs in close collaboration with project teams
•In collaboration with research colleagues from, including but not limited to, Discovery, Pre-clinical Safety, Translational Medicine Experts, Biomarker Development and Developmental & Molecular Pathways, leads the quantitative evaluation of new technology platforms
•Defines and drives statistical strategic and quantitative contributions for the non-clinical components in the regulatory/submission strategy and related documents 
•Drives the full integration of modern aspects of drug development including model-based drug development and statistical methodologies in collaboration with partners, facilitates and manages internal and external stakeholders through to regulatory acceptance.
•Drives and coordinates the synthesis and integration of the pre-clinical information to support transition of drug development milestones / decision boards. 
•Leads statistical scientific evaluation of in-licensing opportunities
•Represents IIS at project level internal/external meetings with respect to statistical scientific input and in portfolio level governance boards
•Ensure full integration of Statistical Methodology, make sure that the IIS team (biometrician, data management, database programming, statistical programming, medical and scientific writing are aligned.
•Interacts with Health Authorities and external key opinion leaders as the recognized company expert at the program (or equivalent) level for all quantitative aspects of the program. 
•Provides biostatistics and drug development expertise to infrastructure and process improvement initiatives; may lead such initiatives
•Provides technical statistical expertise and leadership and serves as a role model for innovation on behalf of IIS
•Serves as mentor, and may undertake role of development/appraisal coordinator for selected IIS Franchise associates 

Minimum requirements
•PhD in Statistics (or equivalent degree/knowledge)
•7+ years industry experience
•Strong interpersonal and communication skills ( verbal and writing) bridging scientific and business needs – integrating quantitative sciences
•Proven track record of developing/establishing statistical excellence. Established experience in leading global scientific improvement/change initiatives
•Proficient in statistical experimental design and generalized linear model. Proficient in high level statistical language and package, such as, SAS, R, JMP, and Design Expert.
•Strong disease area or platform and guideline knowledge.
•Expert scientific and facilitative leadership skills to facilitate and maximize the contribution of quantitative team. 
•Strong track record for global scientific leadership in the development and evaluation of modern methodologies or technologies
•Natural modern leadership style building partnerships and collaborative environments
•Candidates with advanced degree in the subject areas, such as biology, chemistry and physics is preferred

For further information, please contact [log in to unmask]

Thank you for your interest.

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