482 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at Baylor College of Medicine
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Research Associate will be responsible for developing and implementing machine learning algorithms to analyze genomes and predict disease risk in
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academic health science centers and is known for excellence in education, research, healthcare, and community service. BCM is currently associated with multiple educational, healthcare, and research
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education, research, healthcare, and community service. BCM is currently associated with multiple educational, healthcare, and research affiliates. Summary The Division of Maternal Fetal Medicine at Baylor
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data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
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, recording vital signs, and maintaining accurate patient records. This role requires strong organizational skills, attention to detail, and the ability to handle multiple tasks efficiently to support the
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and procedures to educate participant regarding the research study. Collects patient information; processes documents and enters information into a database. May collect, process, ship, and maintain
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Clinical Research Mission initiatives through administrative planning, programming and establishment of identified clinical research programs and activities. Develops, maintains, and evaluates ongoing plans
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for the monitoring and coordination process of study visits of all patients enrolled on study including explaining processes and procedures to educate participants regarding the research study, attends visits, ensures
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to answer biological questions while meeting accelerated timelines. Job Duties • Design and implement procedures for data management and sharing. • Prepare high quality documentation and reports. • Use
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Status: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall