Carry out applied research and proof-of-concept work in AI or quantum computing, bring the results into in-house services and client solutions, and help set technology strategy.
About this role
A data scientist position in TIS's Healthcare Services division, supporting healthcare and pharmaceutical clients, with a path toward leading the clinical statistics team.
Work is assigned by experience across three areas: real-world data studies (pharmacoepidemiology, health technology assessment, trial design, drug pricing); biostatistical analysis of clinical trial and post-marketing data to verify efficacy and safety, including IT/AI tools that automate the analysis; and AI predictive analysis of EHR, claims, KDB, registry and digital-device health data. Project, profit and client management follow after about a year.
Required: statistical analysis with SAS in clinical trials or clinical research, and understanding of healthcare industry practices and terminology, plus one of: clinical statistics or real-world data experience, CDISC standards, pharmaceutical SAS analysis, statistics knowledge, or data management skills.
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