Medical Informaticist III

Scheduled Hours 40 Position Summary The Medical Informaticist III (M3) will work across the Healthcare Innovation Lab (The Lab) and Office of the Chief Research Information Officer (OCRIO). The M3 will work closely with the CRIO and Associate CRIO to develop, oversee, operate, and provide world-class research information technology and informatics services to the Washington University School of Medicine (WUSM) and BJC research communities. The M3 will support the Research IT and informatics landscape at WUSM and BJC in order to: Transform research, education, and patient care; Support personalized medicine effort; and Improve the quality of health care and public health initiatives locally, nationally, and worldwide. The M3 applies biomedical and informatics knowledge for the design, development, testing, and ongoing modification of health care IT and data platforms. This position is focused on leading and implementing cutting edge clinical predictive modeling projects that combine complex data, advanced algorithms and its delivery in user friendly interfaces, often at the point-of-care. The ideal candidate will possess an in-depth understanding of clinical data, possess skills for its processing, and knowledge for implementing basic and advanced algorithms. He/she will work closely with WashU/BJC Epic analysts to implement advanced algorithms within the Epic environment, including, but not limited to the Epic Cognitive Computing Environment. He/she must possess a deep understanding of model development and clinical processes and/or knowledge. This role will include both short-term projects with a direct impact in the product as well as longer-term research work in collaboration with local and external researchers. This will be a position within the Office of the Chief Research Information Officer (OCRIO). At present, this position will report to the Associate CRIO. Washington University Institute for Informatics: The modern healthcare and life sciences environments have experienced a fundamental shift towards trans-disciplinary, integrative, and data-intensive approaches to basic, clinical, and translational research. These developments have been coupled with the widespread use of information technology platforms in order to re-engineer of healthcare delivery and achieve greater value alongside improved outcomes and safety. The complex data, information, and knowledge needs associated with these trends require a comprehensive and systems-level approach to Biomedical Informatics research, education, and practice. In response to the aforementioned factors, Washington University (WU) has created the Institute for Informatics, providing an academic and professional home for informatics science and practice. The Institute spans The School of Medicine (SOM) as well as partnerships with the School of Engineering and Applied Science, the Institute for Public Health, the Brown School, the Olin School of Business, the Innovations Incubator at BJC HealthCare, and the Cortex Innovation Community. The institute engages in innovative research, workforce development, and informatics service delivery targeting a variety of critical areas of need. Healthcare Innovation Lab: In order to harness recent trends in health care, health systems have begun establishing innovation labs to identify and implement advances in data, analytics and technology to improve the delivery of care. The Healthcare Innovation Lab was established as a cross-disciplinary organization between BJC HealthCare and Washington University School of Medicine to provide leadership in health system innovation. The Lab will identify and develop applied innovations that are potentially scalable regionally and nationally that directly impact healthcare delivery and strengthen population health approaches within St. Louis. Finally, given the academic association of the Washington University School of Medicine with BJC HealthCare, the Lab will also employ methods of health services research and implementation science to rigorously validate its approach, support academic investigation and provide generalizable knowledge in health care innovation. Job Description Primary Duties & Responsibilities Develops, implements or evaluates health information technology applications, tools, processes or structures to assist clinical and research faculty and staff with data management. Translates biomedical information needs and data management requirements between clinicians and systems engineers, analysts or designers using object-oriented models or other techniques. Uses informatics science to design or implement health information technology applications to address clinical, research and health care challenges. Applies knowledge of health science, information science and informatics theory to clinical practice, education, administration or research, in collaboration with other health informatics specialists. Analyzes and interprets information systems data to improve research and clinical services. Identifies, collects, records or analyzes data relevant to clinical research and care. Designs, develops, selects, tests, implements and evaluates new or modified informatics solutions, data structures and decision-support mechanisms to support patients, health care professionals and their information management and human-computer and human-technology interactions within health care contexts. Analyzes computer and information technologies to determine applicability to clinical practice, education, operations and research. Develops strategies, policies or procedures for introducing, evaluating or modifying information technology applied to clinical practice, education, administration or research. Performs other duties as assigned. Preferred Qualifications Healthcare and research experience. In-depth understanding of SQL. Certification in Epic clinical data models. Advanced programming skills in Python and/or R. Understanding of concepts related to machine learning (e.g., training, testing, validation of models; model tuning). Experience with development or implementing basic machine learning algorithms. Knowledge of OMOP, Epic reporting, and/or broad experience with utilizing data from modern enterprise data warehouses. Effective verbal, written and interpersonal communication skills. Passion for improving research and clinical decision making and enhanced health care delivery. Required Qualifications MD, DO, PharmD, RN, or relevant graduate degree or equivalent professional experience. Demonstrated experience working on projects related to clinical decision support, medical terminologies, health information systems, or health-related applications. Grade G15 Salary Range $82,500.00 - $145,200.00 / Annually The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget. Accommodation If you are unable to use our online application system and would like an accommodation, please email or call the dedicated accommodation inquiry number at and leave a voicemail with the nature of your request. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Personal Up to 22 days of vacation, 10 recognized holidays, and sick time. Competitive health insurance packages with priority appointments and lower copays/coinsurance. Want to Live Near Your Work and/or improve your commute? Take advantage of our free Metro transit U-Pass for eligible employees. We also offer a forgivable home loan of up to $12,500 for closing costs and a down payment for homes in eligible neighborhoods. WashU provides eligible employees with a defined contribution (403(b Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%. Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more. Family We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered. WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Diversity Statement Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment - fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives . click apply for full job details