Senior Associate, Senior Data Manager, Clinical Data Sciences
HybridBuenos Aires, Buenos Aires F.D., Argentina
Buenos Aires, Buenos Aires F.D., ArgentinaHybridFull TimeSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Lead daily Data Management activities for one or more clinical trials, including database design, data review, query management, and submission readiness. Independently allocate study resources, coach junior Data Managers, and perform peer reviews to ensure quality control. Collaborate with Clinical Data Scientists to achieve milestones while maintaining adherence to SOPs and regulatory standards. Document lessons learned and contribute to continuous improvement efforts. This role supports healthcare decisions by ensuring scientifically robust evidence for safe medication use within the Pfizer global community.
Required Qualifications
- Demonstrated knowledge of clinical development process including knowledge and understanding of the principles of GCP
- Demonstrated knowledge of data management processes and principles in area of responsibility
- Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review
- Demonstrates strong verbal and written communication skills including ability to communicate remotely
- Minimum 3 years Data Management experience required
- Working knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements
- Proficient experience using commercial clinical data management systems and/or EDC products (e.g., Inform preferred)
- Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)
- Bachelor's degree minimum requirement
Desired Qualifications
- Experience using data visualization tools (e.g., Spotfire, J-Review) preferred
- Familiarity with MedDRA/WHO-Drug
- Experience of project management skill in terms of resource management and timeline and quality control preferred
- Master's degree
- Relevant pharmaceutical industry experience
- Awareness of regulatory requirements and relevant data standards
- Strong analytical and problem-solving skills
- Ability to work collaboratively in a team environment
- Excellent organizational and time management skills
- Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity
- Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use
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