-
of other colleagues to achieve meaningful outcomes and create business impact. Degree in Computer Sciences, Statistics, Clinical Informatics or similar Relevant certification &/or work experience in data
-
of other colleagues to achieve meaningful outcomes and create business impact. Degree in Computer Sciences, Statistics, Clinical Informatics or similar Relevant certification &/or work experience in data
-
team of an oncology program. ROLE RESPONSIBILITIES Acts as Clinical Pharmacology representative on Clinical Sub Team and Development Team, as appropriate. Provides the clinical pharmacology components
-
analysis for multiple analyses supporting a program. Prepare formal presentations and written reports to Pfizer standards. Contribute to regulatory documents (summary documents, briefing books, regulatory
-
to reduce care gaps, improve care efficiencies, and maximize quality and population health. Maintain, continually develop, and utilize clinical informatics capabilities to enable effective collaborations with
-
Unit, which is focused on anti-tumor immunity and immune cell biology to support the execution and diversification of the Oncology Research pipeline. The incumbent will be an established scientific
-
-Specific Document List algorithms to address rapidly changing business needs Manage investigator record retention program across Pfizer clinical trials Drive performance of CRO against TMF requirements
-
advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply
-
management as it relates to driving labeling process in regulated industry MS Office Suite; expert formatting skills (Word, XML) Bachelor's degree (in science or life sciences preferred) Attributes: Knowledge
-
utilized with full confidence in a compliant manner, these include: insights generation, field compensation, program performance calculation, SPP program performance, limited distribution network evaluation