119 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"Dr" positions at City of Hope
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Prepare Your Career in Biomedical Research Are you ready to take your research experience to the next level? The independent Master’s Program in Disease Biology & Clinical Research at City of Hope
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Qualifications: Bachelor’s degree (in a life science, computer science or related discipline) or equivalent work experience. Minimum of 1-year Clinical Data Management, Industry, or Research-related experience
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build and maintain data standards for all clinical trials, and assist with study start up including protocol review, case report form and database review; dataset specifications, data transfer
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that require data capture in a robust database. This includes over 100 clinical trials that have been historically supported by Medidata Rave and will continue to be supported by Forte EDC beginning in 2019
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reporting, supports adverse event data collection, and contributes to study monitoring and regulatory compliance. Additionally, the role includes performing peer data reviews, assisting in the development
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and play a vital role in improving the patient and family experience throughout the clinical trial journey. As a Clinical Research Program Navigator, you will guide patients with cancer and their
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a multidisciplinary research team. You will work closely with Assistant Research Faculty to prepare, manage, and clean research data for analysis, with a strong preference for candidates who have
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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to identify data points to answer queries and perform query function to export data requests. EDUCATION Minimum of an associate degree in life sciences or information systems with experience in the health field
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable