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Computational Health Platform
Yale University
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Computational Health Platform
Yale University
| 1. Creates a relational database from existing study data currently stored in multiple data sources. Designs comprehensive and relational databases with advance knowledge of relevant applications impacting on the data analyses and reporting. 2. Develops and documents operational procedures for the collection, editing, verification and management of study data. Documents all study data files, data structure and relationships, variable definitions and data codes. Writes detailed specifications for analysis files and performs consistency checks. 3. Develops and implements relevant statistical programs to incorporate data from multiple studies/projects. 4. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 5. Evaluates and analyzes data using accepted statistical techniques and statistical analysis software. Performs descriptive and multivariate statistical analyses of data, using computer software. 6. Uses advanced statistical knowledge to provide support in managing and analyzing data. 7. Designs and implements quality control measures to ensure accurate collection and processing of data. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 8. Responsible for the documentation and transmission of study data. Ensures that data are collected and completed in a timely manner at each site location. 9. May perform other duties as assigned. Required Skill/ability 1: Expertise in SQL and database query optimization (experience with PySpark preferred). Required Skill/ability 2: Strong understanding of Electronic Health Record (EHR) systems, clinical workflows, and healthcare operations. Proven experience with cloud computing environments (AWS, Google Cloud, or Azure) for large-scale data processing. Required Skill/ability 3: Ability to develop interactive dashboards and automated reporting tools using Tableau, Power BI, or similar platforms. Familiarity with FHIR standards, HL7, and healthcare data interoperability. Required Skill/ability 4: Strong problem-solving and analytical skills, with the ability to translate complex data into actionable insights. Excellent communication and collaboration skills, with the ability to work effectively across clinical and administrative teams. Preferred Education: Master's or PhD in Computer Science, Data Science, Biostatistics, Engineering, Computational Mathematics, or a related field. Proven experience in healthcare analytics, hospital operations, or clinical informatics. Proficiency in Python and/or R for data analysis and visualization. Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Data Analyst University Job Title: Computational Health Platform Preferred Education, Experience and Skills: Master's or PhD in Computer Science, Data Science, Biostatistics, Engineering, Computational Mathematics, or a related field. Proven experience in healthcare analytics, hospital operations, or clinical informatics. Proficiency in Python and/or R for data analysis and visualization.
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| Master's degree in statistics, computer science or a related field and two years of experience in data management and analysis or equivalent combination of education and experience. Experience with data collection and in coordinating efforts of multiple groups. |
Internal Number: 95460BR
About Yale University
Yale University is an American private Ivy League research university located in New Haven, Connecticut. Founded in 1701 in the Colony of Connecticut, the university is the third-oldest institution of higher education in the United States.
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