Technical Requirement: Requirements
M.S. or advanced degree in Data Science related field (e.g. Statistics, Mathematics, Epidemiology, Health Economics, Outcomes Research, Computer Science, Bioinformatics, etc…) with solid Biology knowledge; Advanced programming experience with R, Python, SAS and/or other statistical and/or analytical and visualization software packages;. Knowledge in clinical research with emphasis in the development and support of the analysis of clinical trial and human genomic data is preferred.
Experience and/or Competencies Required:
* Demonstrated ability to rapidly adapt to changing project and strategic requirements with a proven ability to understand and become familiar with therapeutic and diverse disease areas * Curiosity and interest in the scientific aspects of drug development projects & advanced technology in analytics and data visualization * Analytical and solution driven mind-set. Applied experience in extensive independent data exploration and insight generation including cleansing for analysis, visualizing, preliminary modeling and interpreting evidence. * Knowledge and experience on data processing and analysis of high dimensional data.; Ability and willingness to work with incomplete/dirty data and knowledge of methods how to properly manage the situation. Able to assess the added uncertainty of the conclusions driven by this kind of data. * Experience leading projects with passion and able to motivate others, especially without formal authority over them * Able to build strong working relationships with stakeholders within and outside of Biometrics and work interactively with stakeholders to understand and define requirements and provide potential solutions * Excellent communication skills to understand or help to form the right scientific question; Strong problem solving, negotiation, influencing & consultancy skills with attention to detail * Ability to see the big picture; Awareness of changing trends in industry * Knowledge of drug development (e.g pre-clinical, clinical development, post-marketing and Personalized Health Care) and ICH GCP guidelines, data source, statistical concepts, analytical methodology and technology. * Positive energy to work in collaborative and dynamic team setting
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