Clinical Data Science Lead Position

hace 2 días


Ciudad de México, Ciudad de México ICON A tiempo completo

ICON plc is a world-leading healthcare intelligence and clinical research organization. Our mission is to shape the future of clinical development, fostering an inclusive environment that drives innovation and excellence.

This Clinical Data Science Lead role is part of our Early Phase Data Management department. We're seeking an experienced professional to manage data management teams, studies, and programs under the direction of our Senior Manager/Director of Data Management. The successful candidate will provide project planning estimates for scope, schedule, and resource requirements, ensuring studies are properly managed and delivered within budget and timeline constraints.

The Principal CDSL will work closely with Clinical Operations, Biostatistics, SAS Programming, Medical Writing, and Quality Assurance teams to ensure data collected during trials meets corporate standards and regulatory guidelines for data integrity. They will also be responsible for managing a number of fast-moving early phase studies or programs of studies, ensuring project objectives are met within budget, to agreed timelines, and to a high level of quality.

Key responsibilities include reviewing project contracts to ensure out-of-scope work is managed efficiently, managing overall project budgets, taking responsibility for cost control, timelines, and project quality. The ideal candidate will have excellent communication and interpersonal skills, strong client relationship management skills, and experience working in a clinical research organization or pharmaceutical company.

We offer a competitive salary of $120,000 per year, commensurate with experience, plus a range of benefits including comprehensive health insurance, retirement plan, and paid time off. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.



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