Associate Director, Non-clinical Statistician, Sqs Japan
Takeda
Fujisawa, Japan
Frequentist and bayesian analyses
Ml/ai statistical analyses
Sas, r, python programming
Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas
Job Summary
Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.
Lead implementation of SQS strategies and ensure deliverables by representing data science function on project teams in support of preclinical studies throughout the drug discovery units and supporting functions.
Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.
Matching Summary
Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.
Skills & Requirements
Must-have
frequentist and Bayesian analyses
ML/AI statistical analyses
SAS, R, Python programming
pharmaceutical industry experience
experimental design
data analysis reporting
Nice-to-have
cross-disciplinary integrative data analytics
emerging statistical techniques
external recognition through publications
AI/ML and Real-World Data domains
Key Requirements
Master’s degree or higher in statistics
Good English communication skills
High level of biostatistics expertise
Expert-level data science programming
Ability to work independently on complicated datasets