458 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" positions at Baylor College of Medicine
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, including screening, enrolling, and monitoring research participants. Responsibilities also include ensuring accurate data collection, proper documentation, organized study records, and participant safety
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numbers generated by the (LIS) when matching with specimens. Time stamps patient requisitions upon receipt and sort specimens. Enters patient demographics, physician and clinical information, clinical
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the daily activities of clinical research studies. Key responsibilities include participant screening, enrollment, and follow‑up; ensuring accurate and timely data collection and documentation; and
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Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary We are seeking an innovative AI Engineer to join our team at the Baylor College of Medicine and Texas Children's Hospital Data Science Center where
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Coordinator I. This role involves managing day-to-day study activities, including participant screening, enrollment, monitoring, data management, and coordinating study visits. The initial appointment is one
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. Collaborates with biostatistics faculty and team members to develop data analysis plans. Uses statistical software to create programs for data management, manipulation, and standard/advanced analysis. Performs
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Investigators (PIs) in the execution of clinical research studies. The selected candidate will work closely with PIs to support study operations, including data collection, data management, and assistance with
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Independently carry out research projects. Participate in lab management and supervision/training of junior lab members. Prepare and conduct laboratory research experiments. Collect, compile and analyze data. May
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accurate data collection, documentation, organization and safety of research participants. Job Duties Specific research activities may include the following: Facilitate and conduct community outreach
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of Medicine. Dr. Wood leads a multidisciplinary research program focused on the analysis of large-scale ‘omics data from longitudinal observational cohort studies to examine pathways linking lifestyle behaviors