Trainer – Pharmacoepidemiology

We are seeking a highly qualified and experienced pharmacoepidemiology or public health professional to deliver a comprehensive Real‑World Evidence (RWE) in Pharmacoepidemiology course in Spain. The ideal candidate will possess deep expertise in real‑world data (RWD) sources, study design, and advanced analytical methods, with a proven ability to translate complex statistical and regulatory concepts into practical, actionable training for healthcare and research professionals.

Key Responsibilities:

• Design and deliver an in‑depth training program on RWE, covering foundations of RWD, study designs (cohort, case‑control, cross‑sectional), data quality and governance, and bias/confounding control.
• Develop and utilize a range of training materials, including detailed presentations, hands‑on data analysis labs (R/Stata/SAS/Python), real‑world case studies, and practical exercises on protocol development and analysis plans.
• Facilitate interactive sessions to help participants evaluate drug safety and effectiveness, interpret results, and translate evidence into regulatory, clinical, and public‑health decisions.
• Guide participants through advanced methods such as propensity score techniques, instrumental variable analysis, sensitivity analyses, and transparent reporting frameworks.
• Provide expert insight into EU/Spain‑relevant topics: GDPR for health data, EMA guidance, HTA considerations, pharmacovigilance signal evaluation, and emerging applications of RWE.
• Conduct assessments and lead discussions to measure trainees’ understanding of study design, data handling, and result interpretation, culminating in project presentations.
• Collaborate with the client to align the training with participant backgrounds (epidemiology, clinical, regulatory, analytics) and with accreditation expectaons (CPD/BAC/ISO standards).

• Proven experience as a trainer, instructor, or facilitator in pharmacoepidemiology, epidemiology, biostatistics, pharmacovigilance, or closely related RWE functions.
• Substantial professional background in industry, CRO, academia, health systems, or regulatory/HTA bodies involving design and analysis of real‑world studies.
• In‑depth knowledge of study design and advanced analytics for RWD, including propensity scores, instrumental variables, confounding/bias mitigation, and appropriate statistical testing.
• Strong understanding of RWD sources (EHRs, registries, claims), data quality/integrity practices, and ethical/legal frameworks (GDPR; familiarity with EMA/HTA expectations).
• Excellent communication, presentation, and interpersonal skills, with the ability to engage a diverse audience of clinicians, researchers, analysts, and decision‑makers.
• Ability to create engaging, interactive training using case studies, hands‑on exercises, and clear methodological explanations.