Descripción de la oferta
About The Hiring Group¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo.RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. With offices in the US, UK, Spain, France, and Sweden, we provide healthcare consulting and research expertise to optimise decision‐making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our practice areas include Value, Access, and HEOR; Patient‑Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.The Epidemiology / Regulatory Real‑World Evidence (RWE) team, within RTI‑HS, is currently based in the US (NC, MA, other) and Spain (Barcelona).We are active members of the International Society for Pharmacoepidemiology (ISPE) and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP).Information about our studies can be found in the RTI Health Solutions (RTI‑HS) HMA‑EMA catalogue of real‑world data sources and studies.Remote Work OptionsRemote work options within the EU/UK are available, with Barcelona as the preferred work location.At RTI‑HS, you will be provided with the opportunity to conduct meaningful work in a collaborative, cross‑functional environment and flexible work schedule.What You’ll DoWe are looking for an individual with the right combination of skills and experience to support our research focused on the strategy, design, and implementation of pharmacoepidemiologic and other regulatory‑grade real‑world evidence (RWE) studies.In this role, you will provide leadership incausal inference methods , including target trial emulation, and guide the design and implementation of these research activities, ensuring robust application ofcausal inferencethroughout the research process.Lead the development of study protocols and contribute to statistical analysis plans.Review analytical outputs, interpret results, and develop study reports and manuscripts.Lead proposal development and oversee project delivery from initiation to completion.Mentor colleagues and contribute to the development of internal scientific capabilities.Support interactions with clients and research partners throughout the research lifecycle.To Be Successful in This RoleStrong written, verbal, and presentation skills, with the ability to communicate effectively in a collaborative, cross‑functional environment.The ability to establish and maintain effective working relationships with research and operations staff, partners, and clients across multiple locations and under tight timelines.Experience leading projects, including document writing, budget planning, proposal development, and project communications, and the ability to support other project leads when needed.What You’ll NeedPhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued.At least 10 years of experience in the field of pharmacoepidemiology/regulatory grade RWE with publications in peer‑reviewed journals and participation in professional societies, and working groups.Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer‑reviewed journals and participation in professional societies, working groups and networks.Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology.Ability to perform duties that require close attention to detail.Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued. xcskxlj Working language is English; additional languages valued.#J-18808-Ljbffr
