The Data Analytics Scientist provides creative data analytics support for projects that involve local and national collaborations with researchers and other computer and computational scientists. The individual will both perform analytics functions and develop tools for dissemination of algorithms and analysis.
80% – Project Activities: Develop new analyses, techniques, and applications, as part of state and national funded partnerships. Participate in cross-disciplinary collaborations, providing innovative solution to data analytics challenges. Provide coordination and leadership for the development and implementation of analyses on high-performance systems to solve grand challenge problems. Track research activity, especially computational science research and modeling. Provide guidance in the selection of analytics tools, resources and models to further RENCI computational research and development projects. Make decisions regarding research topics, procedures and implementation, and dissemination of results.
10% – Teaming and Collaboration: Review scientific papers and proposals. Provide support, including on-site support, for analytics and application development at RENCI and its affiliated campuses. Collaborate with RENCI colleagues as well as collaborating faculty and researchers to develop and submit research grant proposal for sponsored funding programs.
10% – Leadership: Provide leadership in analytics techniques and modeling. Supervise graduate students and undergraduate students. Choose the best hardware software to use for analytics activities. Make cost benefit decisions, such as whether to write or buy software for a particular purpose. Assist in hiring of personnel, subject to availability of funds. The holder of this position must be able track the dynamic environments of high performance computing and advanced analysis applications. Changes in computer architectures, system software and software tools require continuing informal education. Only with a commitment to self-education can one provide the necessary services to the academic community.
Relevant post-Baccalaureate degree in Computer Science, Information Science, Mathematics, or related field required; for candidates demonstrating comparable background in academic or research computing management, will accept a relevant undergraduate degree and 3 or more years of relevant experience in substitution.
Qualifications and Experience
The individual filling this position must have demonstrated skill in one or more of the following areas: Machine Learning, Deep Learning, Statistics, Natural Language Processing, Graph Analysis, Semantic Web Technologies. In addition, the successful candidate will display an ability to bridge several disciplines, such as biomedical, physical, or social sciences, and to work with a diverse array of fellow scientists and administrators. Excellent verbal and written communication skills required, as are good interpersonal, human relations and team building skills. Demonstrated ability to contribute to the writing of proposals is a plus. Strong development skills in a relevant programming language such as python or R are required, along with experience with relevant data tools such as keras or tableau.
Equal Opportunity Employer
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 and to apply, please visit http://unc.peopleadmin.com/postings/161341.