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, EHR, microbiome, metabolomics, immune profiles). This is a position for someone with computational biology experience and with excellent written and verbal communications, computer programming
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& Gynecology at Columbia University Irving Medical Center seeks a Temporary Data Analyst to support ongoing development of the genotype-phenotype repository. This position will assist with processing structured
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assists Principal Investigators and senior research staff with data collection, participant coordination, and regulatory documentation. Responsibilities Assist with the coordination of research visits and
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techniques and data analysis is important. Participating in lab meetings is expected. KEY RESPONSIBILITES Conducts research and experiments, manages data, operates equipment, pulls samples, as directed by Dr
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; Train participants on study procedures including electronic diaries, saliva collection, and home blood pressure monitoring; Track the collection of study data. Assist with REDCap database design, security
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. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary To develop and implement scalable data and
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Coordinator to support patient referral processing via the Epic work queues in accordance to departmental standards. Responsibilities Monitor referral work queue and ensure information on incoming referrals is
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with HIV in New York City (NYC) and three northern counties. The study is designed to gather information from the perspective of individuals living with HIV about their needs for health and social
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. Prepare materials for experiments. Order and maintain clinical trial supplies. Record data related to task or studies. Assist with research data collection and data entry into institutional systems (e.g
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investigator (PI), the Project Coordinator will: Develop, adopt, and implement the protocols of clinical research studies, including subject recruitment/follow-up and data collection. Will assist with data