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Real World Data & Scientific Analytics Manager

Real World Data & Scientific Analytics Manager
Empresa:

Boehringer Ingelheim


Detalles de la oferta

DescriptionAt Boehringer Ingelheim we develop breakthrough therapies that improve the lives of both humans and animals. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective.Now, we are powered by 52,000 employees globally who nurture a diverse, collaborative and inclusive culture. We believe that if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve.Real World Data & Analytics ManagerThe aim of this position is to generate real world evidence (RWE) to support in-line and pipeline products, provide statistical advice on the analysis of real world data (RWD) to various internal and external stakeholders. As well as contribute to the RWD acquisition strategy and tool evaluation and participate in the development and presentation of RWE PLAN.Tasks & responsibilitiesProvide expert advice in the use and analysis of real world data (secondary use of data, such as medical claims, electronic health records, registries) for stakeholders in epidemiology, medical affairs, market access / HEOR and other functional areas.Ensure scientific integrity and critical review of the interpretation and dissemination of the data and input on ONIS, IIS, ECR,proposals, publications, expert statements and 'white papers' connected with RWEServe as statistical lead with robust statistical & methods knowledge for real world database studies, including leading analytical sections of research protocols and statistical analysis plans, managing delivery of analyses, and reporting results. Conduct analyses, using available real world data assets, applying innovative methods, technologies and tools to maximize the value of RWD.Design, develop, ONISs, ECRs, IISs, NTAs including disease epidemiology and patient population characterization for development and marketed products, including disease incidence and prevalence, assessment of current treatment patterns, drug utilization, subgroup profiles, and unmet need assessmentRequirementsPhD in relevant discipline OR Doctoral degree in a clinical discipline (medicine, pharmacy) OR Master's in Public Health and formal training in RWE, RWD & Analytics (master's degree or fellowship) from an accredited institution and/ or post-graduate training in applied analytic disciplines, such as epidemiology, health outcomes, health informatics, biostatistics or health economicsSeven (7) years relevant experience with a doctoral degree OR nine (9+) years of relevant experience with a Master/Clinical Degree or other degree certification of practical experience in conducting RWE studies. Pre and post doc experience considered. Minimum of five (5+) years' experience (pre- and post-doc experience included) in Pharmaceutical industry or Public Hospital/Institution, outcomes research and population health management with demonstration of significant contribution in all disciplines.Hands-on RWE experience in study design and execution.Working experience in R.Mandatory experience working with large healthcare databases such as EMR data, or similar.Expertise in the analysis of real world data, such as administrative claims data and electronic healthcare records, using SAS (e.G., SAS Base, SAS Stat, SAS Macro).Advanced knowledge of epidemiologic methods and/or health economics, such as propensity score analysis and marginal structural modeling.Ability to communicate effectively in English, including the ability to produce documents and emails which are adapted to the needs of the audience.Strong organizational, time-management and prioritization skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.#IamBoehringerIngelheim because… With us, you can grow, collaborate, innovate and improve lives.We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, flexible learning and continuous development for all employees is key, because your growth is our growth.We are continuously working to create a great employee experience. These are some examples of how we will take care of you:Flexible working conditionsLife and accident insurance Health insurance at a competitive price Investment in your learning and developmentGym membership discountsIf you have read until here, what are you waiting to apply? We want to know more about you! Job Field: EpidemiologíaOrganization: ES-Boehringer Ingelheim España, S.A.Schedule: Tiempo completo


Fuente: Talent_Dynamic-Ppc

Requisitos

Real World Data & Scientific Analytics Manager
Empresa:

Boehringer Ingelheim


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