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Senior Associate, Central Monitor, Data Surveillance, Clinical Data Sciences

Pfizer · Argentina - Buenos Aires · Global

Clinical Data Science
–
Not yet analysed
Demand70
Career growth72
Healthcare fit68
Remote potential55
5-year outlook
Central monitoring and clinical data science roles typically offer stable, competitive pharma compensation with progression toward clinical data management, risk-based monitoring lead, or data sciences leadership; exact figures depend on location and grade.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
–
Date found
2026-10-20

Intelligence details

Why this is worth applying to

Worth considering if you have exposure to clinical trials, patient data review, or safety/query workflows and want a sponsor-side data career; without trial data experience, expect a stretch.

Who should apply

Clinicians and healthcare graduates with clinical trial, research coordinator, pharmacovigilance, or data review exposure — especially pharmacists, physicians, and research-active nurses — who want to move into pharma clinical data sciences.

CV angle

Reframe real clinical work as data surveillance: protocol-driven patient data review, identifying anomalies or missing data, resolving queries with site teams, safety event documentation, and quality/compliance metrics. Quantify caseloads, audit outcomes, and cross-site collaboration; do not claim central monitoring or RBM experience you have not had.

Skills to highlight

  • Clinical data review and quality checks
  • ICH-GCP and protocol compliance
  • Query resolution and site communication
  • Safety/adverse event documentation
  • Attention to detail and anomaly detection
  • Cross-functional and cross-site collaboration
  • Excel/EDC or data visualization familiarity

Role summary

A Pfizer clinical data sciences role focused on central monitoring and data surveillance of clinical trial data — reviewing data quality, risk indicators, and site-level signals to support risk-based monitoring, in partnership with data management and clinical teams.

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