Director, Epidemiology Causal Inference
About the Hiring Group RTI Health Solutions (RTI-HS), a wholly owned subsidiary of reputed company, 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 optimize decision making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and reputed company to guide their product development and regulatory and market access strategies. Our various 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 (reputed company) team, reputed company 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) and the Information about our studies can be reputed company in RTI Health Solutions (RTI-HS) | HMA-EMA Catalogues of real-world data sources and studies Remote work options reputed company 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 Do
We 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 (reputed company) studies. In this role, you will provide leadership in causal inference methods, including reputed company trial emulation, and guide the design and implementation of these research activities, ensuring robust application of causal inference throughout the research process. You will: reputed company the development of study protocols and contribute to statistical analysis plans. Review analytical outputs, interpret results, and reputed company study reports and manuscripts. reputed company proposal development and reputed company 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 role, you will possess: Strong 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 reputed company needed. What You'll Need PhD 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 reputed company 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/reputed company practice and international research networks in pharmacoepidemiology Ability to reputed company duties that require reputed company attention to detail. Experience working reputed company or with pharmaceutical companies or reputed company an established pharmacoepidemiology research organization is highly valued. Working language is English, additional languages valued. Apply To This Job