Lead Analyst, Data Scientist for Advanced Analytics
Basic/clinical research in biomedical/biosensor data utilizing advanced analytic methods such as artificial intelligence (AI) and machine learning (ML) is under the administrative direction of the Deputy Director of the Institute of Future Health (IFH), a joint Arizona State University/University of Arizona research institute. The Lead Analyst Data Scientist for Advanced Analytics will be responsible for managing, planning, supporting and preparing data analysis and reports focused on healthcare data and remote biosensor data from telemedicine applications. The data generated will be used for the development of AI and ML tools that will support a telemedicine program, business decision-making, strategic planning, and process improvement to support the growth of the Institute for Future Health. The area of advanced analytic techniques including but not limited to program management of artificial intelligence tool development, machine learning methods, neural networks and advanced bioinformatics tool development to support remote sensing capabilities.
Knowledge of principles and practices pertaining to artificial intelligence tool development and machine learning as it applies to the practice of medicine. Ability to evaluate the development of advanced analytic tool technology and to identify analytic tools that have the greatest potential impact on future healthcare. To work with university scientists developing advanced analytic tools to explore new health related applications for analytic methods. Deep knowledge of the artificial intelligence and machine learning industrial research. Knowledge of advanced analytic methods and tools currently available for healthcare applications, methods and tools that are currently available for non-healthcare applications.
Performs data analysis to understand current performance, analyze trends and make recommendations for future project performance related to advanced analytic methods and technology. Develop measurements and metrics for data analysis to be used in business decision-making, planning, and process improvement. Securely collects, cleanses, standardize, transforms and stores data from various sources ensuring data integrity. Directs the collection of supplier data (e.g. industry trends, supplier performance and cost dynamics); prepares supplier reviews. Uses predictive modeling, statistics, trend analysis and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources. In collaboration with other data scientists within IFH, create and maintain statistical reporting tools to support the specific discipline. Responsible for regularly auditing data input; audits may involve studying number, organization practices and sponsor feedback. Prepares or coordinates reports, analyzes and interprets statistics, financial data, and management planning data stakeholders and university administration. Conducts and assists with the development of long- and short-range goals. Represents the department/college and serves on various department and university committees. Maintains broad awareness of current trends in data collection and organization, data preservation, and numeric data analysis by participation in appropriate professional activities and contributing to research in the field. Will implement procedures and technologies that assure the long-term sustainability and accessibility of datasets. May supervise, monitor or coordinate the activities of subordinates to ensure adherence with stated outcomes, timeframes and standards. Reviews job performance in conjunction with established unit, department and university goals. Utilizes various computer programs and software to perform data computation, statistical analysis and other data manipulation activities. May perform other duties as assigned.
Doctoral qualification (PhD, MD, or DVM) and 5-years’ experience in large research project management in academia, bio industry, government, or healthcare organizations in one or more areas of the biological sciences, biomedicine, bioinformatics, sensor technologies, molecular diagnostics, precision medicine, digital health and remote patient monitoring and related experience in strategic planning, program planning and execution and familiarity with public and private sector funding agencies.
Knowledge of principles and practices pertaining to the development of advanced analysis methods and technology, in particular artificial intelligence, machine learning, neural networks and other advanced bioinformatics analytic tools related to analyzing and integrating a variety of data types for healthcare purposes.
Such datasets could include remote sensing technology, genomic information, electronic health records and imaging technologies.
Knowledge of analysis techniques and reporting strategies Knowledge of computing and data analysis
Knowledge of data management and information technologies Knowledge of supervisory principles practices and techniques
Knowledge of the principles of exemplary customer service demonstrated through actively listening, acknowledging, and responding to every inquiry; taking ownership and resolving each concern or problem as appropriate; exhibiting professionalism and expertise in every interaction and engaging in professional development to meet expectations for service excellence. Skill in quantitative data analysis and interpretation.
Knowledge of the principles and practices pertaining to the assigned department Knowledge of administrative, financial, and business management principles and practices
Skill and ability to collect, organize, synthesize and analyze data; summarize findings; develop conclusions and recommendations
Skill in planning, analyzing, and coordinating activities and establishing priorities Skill in managing multiple priorities, adhering to deadlines and allocating
Ability to accurately and reliably interpret data for determining appropriate action
Ability to influence changes in individual, institutional, and/or corporate behaviors to create a more sustainable environment
Ability to effectively communicate results of analysis, novel ideas and project updates to senior management, peers and collaborators
Ability to design, build and maintain databases of information related to the development of advanced analytic tools by external companies and university scientists. Understands the importance of metadata as it applies to development of advanced analysis methods and technology.
The Institute for Future Health (IFH) is a joint venture between Arizona State University (ASU) and the University of Arizona (UA) to redefine healthcare. The IFH will be a research and clinical hub to integrate the convergence of biomedicine, engineering and computing for innovation in precision health and digital health and their dependence on proficient capture, analysis and use of rapidly expanding large-scale data. Inter-disciplinary project teams from both universities and clinical and corporate partners will develop new sensor and wireless platforms for remote monitoring of health status, interactive telemedicine and the application of cognitive computing in patient care to improve diagnosis, monitor treatment adherence, reduce hospital readmissions and maintain wellness. The initial projects will focus on cardio-pulmonary diseases, mental health and infectious disease surveillance.
Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 80,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions intellectual and cultural diversity, and welcomes students from all fifty states and more than one hundred nations across the globe.
ASU is a tobacco-free university. For details visit www.asu.edu/tobaccofree AmeriCorps, Peace Corps, and other national service alumni are encouraged to apply.
Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law.