The Director of Data Science and Analytics is responsible for identifying research opportunities, coordinating research projects, and assembling research teams and executing projects. This position is responsible for developing and managing research programs that advance RENCI’s mission in data science. This includes developing research proposals to federal agencies, foundations, and state and local governments that support research at the convergence of domain sciences, data science and analytics. The Director will have an overall understanding of RENCI’s capabilities, and will work to advance these capabilities and will coordinate research projects that are across research groups. She/he will identify and recommend scientific and technological directions for RENCI based on institution-wide goals. She/he will direct and manage the RENCI data science and analytics group. The Director will interact with campus faculty and other external stakeholders to advance RENCI’s mission in the research and practice the application of advanced data science and analytics infrastructure to enable and accelerate domain sciences.
Direct the data science and analytics program at RENCI: The Director will work with collaborators on campus, and other institutions, to identify domain areas of research and practice that can be accelerated through the application of new approaches in data science and analytics. The director will work with collaborators and RENCI staff and managers to develop strategic plans for addressing these needs and he/she will act to guide and champion such plans to ensure plans are met. The Director will work with research groups at RENCI and other research groups throughout the nation to identify and accelerate the development and research of new approaches in data science and analytics. Direct personnel and projects within the Analytics Program. Track research activity across computer science and cyberinfrastructures, especially in areas of analytics and data-driven domain science research. Represent RENCI at key national meetings as well as develop and publish scientific papers.
Sponsored Research: Identify sponsored research opportunities and form collaborations with relevant research groups. Develop proposals for sponsored research. Effectively manage sponsored research awards.
Ph.D. highly desirable, Master’s degree required in computer science, engineering, informatics or a related field. Five to seven years of professional experience in leading research projects in informatics, data science and analytics. Experience managing a group of technical personnel. Experience with proposal development, working with funding agencies, and interdisciplinary research.
Specialized scientific knowledge of data science, big data architectures such as Hadoop and Spark, cloud computing, advanced analytics and machine learning, and computational science. Experience with agile software development practices and open source, reproducible coding principles. Familiarity with major programming languages such as Python, Java, C, C++, R. Ability to build collaborative efforts with appropriate departments. Excellent oral and written communication skills including presentations to diverse constituencies, strong interpersonal communication and human relations abilities and demonstrated team building skills. Management and administrative skills. Ability to foster and maintain collaborations with both academic and industrial researchers. Ability to write proposals.
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
For more information or to apply: http://unc.peopleadmin.com/postings/123171