393 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" uni jobs at Baylor College of Medicine
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diagnostic studies, therapeutic procedures, prescribe medications, and participate in collaboration and direct reporting of patient information to the medical staff. Proficient use of Epic in the delivery
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CRISPR/Cas technology and analyze the results. Work independently and in conjunction with others who are part of the Laboratory. Record and summarize research findings. Evaluate and analyze data. Establish
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; ensures compliance with study inclusion/exclusion criteria. Manages end-to-end execution of research projects. Oversees data integrity and management; ensures accurate entry, query resolution, and reporting
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in the complex which includes, but not limited to, animal holding rooms, computer server systems, and research sensitive areas where the climate must be at tolerable levels at all times. Current shift
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compiles regulatory documentation, data, quality metrics, and reports required for the State NICU Designation review cycle. Attends essential NICU Designation, Quality, Safety, and Program meetings; drafts
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experience working in settings where adherence to ethical guidelines and policies about confidential information is a part of the day-to-day work. Also, experience in successfully working in a complex, fast
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Texas Children’s Hospital. Success in this role requires exceptional verbal and written communication skills, a high degree of professionalism, and the ability to manage sensitive information with strict
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graduation date to pass the boards. Experience: Residency training in Family Medicine. No prior practice experience is required. For further information or questions, please contact Roger Zoorob, M.D., MPH
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or data sciences. Minimum Qualifications ABTS board certification or board eligibility is required, and the candidate must qualify for a full and unrestricted Texas medical license. Enthusiastic applicants
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of genetics patients and their families. Job Duties Obtains complete and detailed information from callers to the clinical genetic offices including new patients, established patients and referring providers