Senior Epidemiologist
Boehringer Ingelheim
Senior EpidemiologistPositionTo provide robust relevant real world data analyses and outcomes research (OR) reasoning in order to drive innovative patient access solutions and aid evidence based decision making across the Prescription Medicine (PM) portfolio, and increase patient access.
Contribute to the publication of outcomes research studies to raise awareness of disease and / or product specific outcomes. To facilitate the evidence base supporting HTA and the payer value proposition related to the Boehringer portfolio.AccountabilitiesSupport the production of successful real world data studies in order to generate insights about the disease and related treatment.
Responsibilities include assisting in the writing of protocols, data analysis and the production of reports and manuscriptsStays on top of external developments w.r.t RWE methodologies accepted by Health Technology Assessment agencies and related stakeholders in relevant therapeutic areas.Responsibilities include continuous monitoring of literature for trends in outcomes research/ epidemiology / biostatistics and stakeholder engagement to better understand acceptability of OR methods for facilitation of the payer value proposition and HTAs in the five nations.Translate patient access strategy into robust RWE strategies and Boehringer studies.
Proactively communicate actionable conclusions, recommendations and payer value messages.
Validate OR approach and results with external stakeholders.RequirementsDegree or equivalent qualification in mathematics, statistics, epidemiology, data science or related discipline
Relevant post-graduate qualification, e.g., MSc/PhD in Epidemiology or related discipline
In-depth knowledge of quantitative outcomes research methods, and medical statistics applied to RWE
Proven knowledge in the management of RWD and methods used to organise and analyse large sets of data
Knowledge and experience of running OR studies, from proposal writing to publication of results
Knowledge of statistical methods applied to health economics would be advantageous
Good understanding of CPRD (or equivalent anonymised patient-level database) and the UK health system would be advantageous
Good understanding of SQL and R would be advantageous10 or more years experience as an epidemiologist, biostatistician or data scientist
Bracknell, Berkshire
Sun, 11 Aug 2024 01:49:47 GMT
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