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POSITION RESPONSIBILITIES

A new "Informatics Concierge" service is being jointly developed by the CTSA, the Department of Medicine, the Department of Epidemiology and Population Health and the Epidemiology and Clinical Research Informatics Shared Facility to efficiently handle the influx of requests for informatics and data services for research purposes.

This position will lead the Informatics Concierge service, lead associated support staff, and collaborate closely with investigators to provide crucial informatics services in support of both QI initiatives, data mining and data extraction activities, electronic health record analyses and clinical trial recruitment initiatives. Services will include designing and conducting robust data extraction initiatives relating to Epic/Clarity, constructing case definitions, developing control groups, and developing complex algorithmic programming to achieve research aims.

Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.

Scope of Responsibility

• Report directly to the Director of the Epidemiology Informatics and Study Management Unit of the Department of Epidemiology and Population Health
• Work directly with PIs on various projects. Provide "dotted-line" reporting to other faculty members at Einstein and Montefiore as needed (e.g. Director of the CTSA etc.)

• Provide and utilize overall expert level Clinical and IT domain knowledge, based on expertise and training in both the IT and clinical research domains, to oversee the design and implementation of sophisticated algorithms for clinical and research-based data extraction from various in-house Enterprise Data Warehouses and Epic/Clarity to serve the research community.
• Oversee the collaboration of multi-disciplinary personnel consisting of informaticians, data scientists, and software/systems engineers trained in biomedical knowledge bases, standards & best practices in health information management, advanced application programming and data security to provide novel solutions in the realm of data extraction.
• Provide domain expertise to provide insight into EHR data interpretation. This includes disambiguating and clarification of data and data sources and their sematic meanings.
• Responsible to oversee the service request process to ensure appropriate documentation, research and data integrity, data quality control and IRB compliance.
• Serve as an honest broker and provide competency and capacity which leverage big-data analytic resources to enable a wide spectrum of research across the enterprise.
• Initiate data sharing portals to maximize collaboration and ensure secure data distribution.
• Oversee identification and resolution of data quality assurance issues, and lead efforts to standardize data definitions across the institution.
• Utilize best practices for leveraging available technologies and design and development approaches that enhance system robustness, security and maintainability.

• Integrate and curate data from Electronic Health Record (EHR) systems and multiple data warehouses, including the Enterprise Data Warehouse (EDW) and Clarity.
• Oversee data organization, transformation and harmonization initiatives. Construct patient clinical profiles to capture any combination of longitudinal patient data, and include demographic, diagnosis, tumor characteristic, treatment, recurrence, site-specific factors, medication, lab results, pathology and vital statistics in support of a multitude of research programs and projects.
• Provide clear documentation of systems. This includes both internal code-related documentation and external user documentation.
• Develop data dictionaries which detail and define all included data elements and highlight descriptive statistics of established and potential cohorts.
• Work with PI's, researchers and Montefiore medical staff in identification and interpretation of clinical data for research, grant proposals and healthcare quality QI projects
• Investigate and promote tools that develop a knowledge base and provide resources for a persistent store of both technical and domain information for an Enterprise Data Warehouse
• Expert in use of various technologies, integration tools and methodologies. These include Oracle and SQL Server, and may include SAS and SSIS for automation and simplified data management
• Responsible for ensuring that all developed products meet state, federal and sponsor requirements for data security including the guarding of PHI data. Provide periodic review of system design and safeguards relating to system security issues.
• Work with national third party organizations to assist in the inclusion of AECOM/MCC-derived data into national databases. The scope of this work includes initial and on-going contact with principals at these organizations, the assessment of AECOM/MCC data for quality assurance purposes and the design and implementation of robust and secure systems for the timely transfer of data to these outside organizations.
• Provide analytic services for raw data obtained from a wide variety of sources in order to ensure correct and high quality interpretation of the data.

Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.

QUALIFICATIONS

Experience and Educational Background

• Bachelor's Degree in Bioinformatics or related field. Master's degree preferred.
• 10 years bioinformatics experience
• Previous experience with Clarity/Caboodle or related EHR database system.
• Proficient in Oracle
• Certification in Epic's Research Clinical Data Model - (Clarity etc.) highly preferred

Skills and Competencies

• Deep, direct experience in the fields of Information Technology, Bioinformatics and/or Healthcare
• Excellent organizational and communication skills, able to interact with and present to established researchers
• Ability to work independently
• Ability to meet deadlines, adjust priorities and handle new requirements as they arise
• Strong client-service orientation, alignment to Institutional needs, able to bring curiosity and respect to all teams
• Strong architectural and development experience for the creation of enterprise-based solutions
• Strong experience in the use of Extract, Translation, Load tools such as SQL-Server Integration Services (SSIS)
• Ability to multi-task and keep all parties regularly involved in all relevant decision making and abreast of changes to deliverables and project schedules
• Working knowledge of project management methodology, change control, quality and system performance metrics and methods; ability to effectively coordinate and conduct meetings, both formal and informal
• Able and willing to contribute as a hands-on, expert individual contributor and as a manager and mentor
• Ability to do 80-20 thinking, to be pragmatic and always focused on priorities and business needs
• Excellent problem-solving skills
• Ability to effectively manage stakeholder expectations
• Learns quickly and requires minimal direction from leadership
• Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds, and levels
• Ability to cooperatively and effectively lead some teams, and work within other teams

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