Clinical Research Informatics Manager | Albert Einstein College of Medicine - Military Veterans

POSITION RESPONSIBILITIES Cancer Clinical Research Informatics Manager is responsible for the managing the specialized informatics needs of the Montefiore Einstein Cancer Center. This person will be responsible for integration and optimization of the cancer-related clinical trials into the clinical trial management system(s) (and other electronic data capture systems) into operational practice, useful data analytics, data quality, and ultimately study performance to support cancer clinical research and clinical trials. The incumbent will support the cancer clinical research community consistent with expectations of NCI-designated Cancer Centers as outlined in the Cancer Center Support Grant (CCSG) guidelines. This role will develop and refine informatics-based tools and metrics to manage and report on defined measures for the Protocol Review and Monitoring System, Data and Safety Monitoring Committee, and patient accrual to clinical studies across the entire cancer clinical trials portfolio. This position will collaborate with the Cancer Clinical Trials Office Assistant Director of Quality Assurance to leverage systems and reporting to support internal monitoring and auditing activities to meet regulatory compliance requirements in the conduct of clinical trials. The Informatics Manager will work closely with Disease Teams leaders and Cancer Clinical Trials Office staff to leverage systems and analytics to drive decision making in the review and conduct of clinical trials and serve as a project lead and subject matter expert for process improvement initiatives. This position plays a key role in developing and maintaining relationships with colleagues, clinical investigators and leadership to align priorities to mission that will lead to cultural change and increase access to clinical trials and clinical care in the Bronx community. This position will implement strategies, processes and tools to support patient recruitment, regulatory compliance, clinical trial billing compliance, clinical trial performance and quality improvement, and operational efficiencies that will ultimately impact the patient experience and employee engagement. Develop and work in a collaborative environment to ensure clinical trial and clinical research data supports regulatory compliance with quality measures; Participates in the newly formed Feasibility Committee that will embrace data to drive operational excellence; Lead process improvement initiatives to optimize systems and business/operational workflows for data quality and study performance; leverage multi-disciplinary teams as subject matter experts for working groups; Develop best practice in leveraging systems for appropriate clinical trial billing compliance; Serve as informatics liaison to clinical staff to translate clinical practice needs, nursing and clinical trial protocols information between nurses and systems engineers and analysts, using object-oriented models or other techniques; Develop reports, dashboards and visualization tools to support NCI reporting requirements and critical decision support to expand the cancer clinical trial portfolio; Develop and implement training and education materials in best practice in using Velos (clinical trials management system) and other electronic data capture systems for clinical research; Monitor industry standards and trends in clinical trials operations and management to identify gaps/areas of opportunity; develops action plans to address areas of concern; Participate in Epic/Velos optimization working groups; identify gaps between business requirements and application capabilities and recommend action steps specific to Cancer Center needs and requirements; Develop and maintain appropriate SOPs for systems according to GCP in the conduct of clinical trials. Albert Einstein College of Medicine offers flexible work schedules and a hybrid remote work arrangements for our professional and administrative staff with supervisory approval. The incumbent for this position is eligible for consideration and applicants should inquire. QUALIFICATIONS Education: Master's degree in Informatics or related field. Nursing or Clinical Degree highly preferred Experience: At least 7years of experience in informatics and/or clinical research.