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Stanford Health Care

Associate Enterprise Research Data Broker

Stanford Health Care, Palo Alto, California, United States, 94306


If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. This is a Stanford Health Care job.

A Brief Overview The Enterprise Research Data Broker (ERDB) plays a critical role in supporting vital medical research at Stanford Medicine. They act as expert intermediaries, bridging the gap between researchers and the vast health system data landscape. ERDBs possess a unique blend of technical expertise, analytical prowess, and communication skills, enabling them to effectively: Acquire and curate data:

ERDBs source and integrate data from diverse sources within the Stanford Medicine ecosystem, ensuring its accuracy, completeness, and compliance with regulatory and privacy protocols. Analyze and interpret data:

They leverage their analytical skills to extract meaningful insights from complex datasets, employing statistical methods and data visualization techniques to uncover hidden patterns and trends. Facilitate data exchange:

ERDBs act as data stewards, establishing and maintaining efficient data pipelines between systems, ensuring seamless access for authorized researchers. Collaborate and communicate:

They foster strong relationships with researchers, understanding their specific data needs and translating complex data into actionable insights. What you will do Data Acquisition and Management: Source and acquire data: Identify and access relevant data sources within the Stanford Medicine ecosystem, including electronic health records (EHRs), research databases, and clinical trial data. Data cleaning and validation: Perform data cleaning tasks to ensure accuracy, completeness, and consistency. Data transformation and formatting: Transform and format data into a usable format for analysis. Data compliance: Adhere to all applicable regulatory and privacy protocols, including HIPAA, IRB, and data security policies. Data Analysis and Interpretation: Perform basic statistical analysis: Conduct descriptive statistics to summarize data characteristics. Generate data visualizations: Create clear and informative visualizations to represent data patterns and trends. Interpret data findings: Analyze data to identify key insights and communicate findings to researchers. Communication and Collaboration: Communicate effectively with researchers: Understand researchers' data needs and provide tailored support. Collaborate with other ERDBs: Work effectively as part of a team to ensure efficient data management and analysis. Document data activities: Maintain accurate and detailed documentation of data acquisition, processing, and analysis activities. Education Qualifications Bachelor’s degree from an accredited college or university or equivalent combination of education and technical experience. Bachelor's degree in a relevant field such as statistics, computer science, bioinformatics, health informatics or a related field. Preferred Experience Qualifications One (1) - two (2) years of experience in data analysis, data management, or a related field. Experience with data management and analysis tools and techniques. Preferred Strong understanding of research methodologies and data privacy regulations. Preferred Basic understanding of internet/web tools and technologies and software development, scripting languages, and database design. Preferred Required Knowledge, Skills and Abilities Technical Skills: Proficiency in SQL, Python, and basic statistical analysis tools. Soft Skills: Strong communication, collaboration, and problem-solving skills. Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Base Pay Scale: Generally starting at $46.85 - $60.90 per hour. The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

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