The Palliative and Advanced Illness Research (PAIR) Center is recruiting two full-time, experienced Clinical Research Coordinators to join its multidisciplinary team. The research coordinators will have responsibilities that span across two areas: 1) driving the implementation of a study to understand the impact of medical marijuana on quality of life for patients with advanced cancer and 2) supporting Dr. Gary Weissman’s team, the Clinical Artificial Intelligence and Machine Learning (CAIML) Lab. The CAIML Lab seeks to translate innovations in artificial intelligence (AI) and machine learning (ML) methods into bedside clinical decision support systems (CDSSs) that alleviate uncertainty in critical clinical decisions. Projects within the CAIML Lab include (i) a study involving the use of a CDSS for older adults in primary care clinics to promote diagnostic excellence, and (ii) a study investigating the preferences and tradeoffs among primary care patients and clinicians associated with AI electronic consultations. The Clinical Research Coordinators will be responsible for day-to-day study coordination and operations of the medical marijuana study. Duties will include: screening medical records to identify eligible patients; recruiting patients virtually and in the outpatient clinic; deploying weekly surveys and assessments to patients; maintaining study databases; and monitoring fidelity to the study protocol. The coordinators will maintain all regulatory clinical trial documents and protocols ensuring compliance with the Institutional Review Board, the Abramson Cancer Center Trial Management System, and Clinicaltrials.gov. The Clinical Research Coordinators will meet regularly with the broader study team, including the PI, Dr. Scott Halpern, to report on subject accruals and progress towards study milestones as well as troubleshoot any issues that arise during the conduct of the study. The Clinical Research Coordinators will also be responsible for supporting the CAIML Lab research portfolio. Duties will include screening medical records to identify eligible participants, recruiting eligible participants to studies virtually and in-person, administering study instruments (including the AI CDSSs) to participants, assisting in maintaining regulatory compliance, and assisting in study analysis and dissemination including manuscript preparation.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
11-50 employees