sr. manager, statistics (rwe) athens

The applicant will work with teams in multiple therapeutic areas and will be the lead RWD statistician responsible for delivery of these projects.  The emphasis will be on analysis of RWD. The applicant is expected to develop effective collaborations with relevant stakeholders including Medical Evidence Generation (MEG) platform leads, and scientists, health economics and outcomes research (HEOR) leads, clinicians, other statisticians, and statistical programmers regarding RWD analysis and strategy.

Responsibility extends to methodological research to improve the design, conduct, analysis, and interpretation of the observational studies with focus on causal inference.    

The successful candidate will:

• Increase expertise amongst Pfizer statisticians and scientists through dissemination of new RWD analysis and modern analytic methodologies and training on software to implement these approaches.

• Collaborate with development teams by the development and implementation of techniques based on state-of-the-art research.

• Take ownership of projects and liaise with team members as appropriate and may oversee the work of contractors.

ROLE RESPONSIBILITIES 

• Provide expert statistical support   in the design, analysis, reporting, and interpretation of RWD and in HEOR projects involving observational studies, including those in development supporting drug approval and reimbursement, health technology assessment (HTA), as well as other post-approval activities, in order to inform decision-making and also to guide medical strategy and the scientific narrative through publications and external presentations.

• Partner with MEG leads and scientists, other statisticians, clinical statisticians, HEOR leads, clinicians, statistical programmers, and others to develop and implement an effective plan to leverage RWD.

• Participate in TA specific Real-World Evidence (RWE) regular meetings as needed and engage in proactive communications with project leads to better understand scientific and business needs.

• Provide computational and statistical advice on complex analytic issues supporting Pfizer’s RWD projects and be able to work in an autonomous manner. 

• Strong programming skills in SAS with an emphasis on analysis and reporting of RWD to generate RWE.   

• Develop, implement, and promote methodologies based on state-of-the-science computing and statistical research and dissemination of the results both internally and externally.

• Provide a strong presence for Pfizer with HTA, regulatory and professional organizations to influence knowledge generation and content of regulatory guidelines to support the adaption of RWE.

• Develop effective collaborations with relevant non-statistical researchers. 

• Stay current with research on RWD and observational data methodology and its applications pertinent to the Pfizer business needs.

• Be up-to-date on training and compliance with all Pfizer SOPs as required based on the assigned curriculum. 

 
BASIC QUALIFICATIONS: 

• M.S. in Biostatistics or related field with 5+ years of experience in RWD and observational studies, or Ph.D. with 2+ years of relevant experience. Candidates with less work experience, or experience in other fields, will also be considered if they have exceptional methodology research credentials and potential.

• Excellent oral and written communication skills in English language

PREFERRED QUALIFICATIONS:

• Experience with advanced inferential statistics (including and not limited to longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis), causal inference and real-world data analysis and modern analytic methods such as propensity scores, regularized generalized linear models, AI/ML methods and related techniques to analyze RWD

• Demonstrated understanding of RWD and observational study design and analysis to assess confounding and other related bias with RWD studies

• Familiarity with drug development processes

• Proficient with subject matter content in at least one therapeutic area like oncology or inflammation, internal medicine etc.

• Effective verbal and written communication skills in relating to colleagues and associates both inside and outside the organization

• Broad-based understanding of statistical theory and its application 

Please apply by sending your CV and a motivational letter in English