Outcomes Research Manager

To provide robust relevant real world data and epidemiological reasoning in order to drive patient access solutions and aid evidence based decision making across the Prescription Medicine (PM) portfolio, and increase patient access. Raise awareness of disease and / or product specific outcomes related to the Boehringer portfolio. 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. Accountabilities Support the production of successful epidemiological and real-world data studies in order to generate insights about the disease, burden and related treatment landscape. Assist in the writing of protocols, data analysis and the production of reports and manuscripts Remains up to date on 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 outcomes research strategies and Boehringer studies. Proactively communicate actionable conclusions, recommendations, and payer value messages. Validate OR approach and results with external stakeholders.

• Degree 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 OR methods / epidemiological methods / and medical statistics applied to epidemiology / RWD
• Proven knowledge in the management of real world data 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 anonymized patient-level database) and the UK health system would be advantageous
• Good understanding of SQL and R would be advantageous