Responsible for ensuring sound statistical thinking and methods are utilized in the discovery and development of new biomarkers. Bring the principles of objective decision-making into the development, validation and implementation of industry-leading mobile/digital technology programs for incorporation into clinical trials. Integral member of a matrixed team, which develops and uses computational and statistical approaches to discover and validate digital biomarkers.
Collaborate with various scientists in the design, analysis and reporting of clinical experiments.
Ensure rigorous approaches are taken to ensure good scientific practices are followed: excellent statistical methods utilized and documented in protocols, analysis plans and manuscripts, and assay methods are appropriately blinded, randomized and designed to meet clear objectives
Core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality environment.
Interact with internal and external experts to assure sound quantitative approaches are applied to collection and analysis of a wide variety of data types.
Bring innovative statistical thinking and methods to help drive data-driven drug discovery and development employing modern methods including Bayesian techniques
Work with scientists to understand the biology and improve existing or derive new endpoints, utilize prior information, develop 'fit-for-purpose' statistical models
Use statistical expertise to prepare both internal and external reports, presentations, manuscripts
MSc (PhD preferred) in Statistics, Biostatistics or in quantitative discipline such as Physics, Applied Mathematics, Bioengineering, Electrical Engineering coupled with high level of statistical expertise. Research experience with mathematical/statistical modeling using complex data and five or more years of postdoctoralor industrial experience are preferred.
Strong background in experimental design and statistical analysis including good understanding of inference and probability, competence in contemporary linear and predictive modeling including (longitudinal) mixed models, nonlinear regression, and predictive modeling
Pharmaceutical applications desired, with early clinical (phase I and phase II) and translational experience a definite advantage.
Expert level knowledge of machine learning algorithms with robust feature selection and optimization
Knowledge of methods of signal processing including image segmentation and/or electrophysiological data analysis
Genuine interest in biology and pharmaceutical development, with the attitude of self-directed scientist; demonstrated ability to multitask
Outstanding communication skills; ability to explain statistical and modeling concepts to non-experts
Demonstrated ability towork effectively as a part of a team
Fluency in R programming
Programming in Python is a plus
Knowledge of MATLAB is a plus
EEO & Employment Eligibility
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Other Job Details:
Last Date to Apply for Job: October 15, 2018
Eligible for Relocation Package: yes
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.