We are seeking a highly qualified and experienced pharmacoepidemiology or public health professional to deliver a comprehensive RealâWorld Evidence (RWE) in Pharmacoepidemiology course in Spain. The ideal candidate will possess deep expertise in realâworld 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 inâdepth training program on RWE, covering foundations of RWD, study designs (cohort, caseâcontrol, crossâsectional), data quality and governance, and bias/confounding control.
Develop and utilize a range of training materials, including detailed presentations, handsâon data analysis labs (R/Stata/SAS/Python), realâworld 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 publicâhealth 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/Spainârelevant topics: GDPR for health data, EMA guidance, HTA considerations, pharmacovigilance signal evaluation, and emerging applications of RWE.
Conduct assessments and lead discussions to measure traineesâ 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).

Requirements

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 realâworld studies.
Inâdepth 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 decisionâmakers.
Ability to create engaging, interactive training using case studies, handsâon exercises, and clear methodological explanations.

Trainers/Instructors for RealâWorld Evidence in Pharmacoepidemiology (Spain)

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