Senior Associate, Senior Data Manager, Clinical Data Sciences

Our mission is straightforward: support healthcare decisions that ensure the safe and effective use of medications. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically essential expertise, or exploring ways to bridge data gaps, your role is vital. By ensuring our evidence is sound and offering necessary medical insights, we strive to improve patient care and treatment efficacy.

In this role, you will:

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  Serve as Lead Data Manager for one or more clinical trials assuming responsibility for CDS activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and submission related activities.

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  Independently lead the daily DM activities and allocate study DM resource in the appropriate way.

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  Coach junior Data Managers in the study and perform peer review of study DM's deliverables for quality control.

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  Be responsible to achieve the study DM milestone on time with good quality.

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  In collaboration with the Clinical Data Scientist, ensure operational excellence across all CDS deliverables.

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  Ensure work carried out in accordance with applicable SOPs and working practices.

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  Ensure the required study-specific CDS documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously to support downstream inspection and submission readiness activities.

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  Ensure operational excellence in collaboration with CDS for application of standards, data acquisition, proactive data review and query management, data cleaning, e-data processing, data access and visualization, DM metrics reporting, database release, and submission related activities.

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  Ensure lessons learnt during the course of the study are documented and shared with other study teams to facilitate cross study learning.

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  Be capable to contribute on the DM related continuous improvement activities

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.