Senior Data Scientist

  • University of North Carolina at Chapel Hill
  • Chapel Hill, NC, USA
  • Nov 11, 2022
Full-time Artificial Intelligence (AI) Computer Science Data Analysis Data Science Machine Learning Python Quantitative R Research Training

Job Description

Are you ready to go beyond the state of the art?

At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.

We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:

  • Spend your time solving the interesting and unique problems of research and development.
  • Shape your future through experimentation and unfettered access to premier education and research.
  • Make connections to people and projects that ignite your passion.

We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.

Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.

Position Summary

The Senior Data Scientist is responsible for developing and managing biomedical data science research projects, including holding senior leadership roles on those projects. The Senior Data Scientist will develop and apply quantitative methods to advance RENCI’s data science portfolio.

This position will provide data science expertise and technical leadership skills to multi-disciplinary and multi-institutional consortia in which RENCI participates. This position will be responsible for understanding the scientific needs of biomedical consortia and interacting with RENCI technical teams to deliver relevant solutions for these consortia. This position will collaborate extensively with internal and external stakeholders, fostering the implementation of the best practices of team science approaches to collaborative projects. This position is expected to develop research proposals for federal agencies, foundations, and state and local governments that support research at the convergence of domain sciences and data science, as well as to publish technical and scientific articles.

Minimum Education and Experience Requirements

Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.

Required Qualifications, Competencies, and Experience

  • Degree in data science, computer science, life science, or a related field required.
  • Ability to understand the architecture of the data ingest and analysis platforms and/or systems.
  • Ability to oversee and manage large multi-faceted, multi-disciplinary, and multi-institutional research projects.
  • Skill in Data Analytics, including Machine Learning / Artificial Intelligence.
  • Ability to collaborate with diverse partners, and to communicate technical/scientific concepts to non-technical/non-scientific audiences.
  • Excellent oral and written communication skills, including presentations to diverse constituencies, strong interpersonal communication, and human relations abilities.
  • Ability to write proposals and publications.

Preferred Qualifications, Competencies, and Experience

  • M.S. or Ph.D. in computer science, life science, data science, or a related field.
  • Experience running scrum meetings and familiarity with agile software development practices.
  • Experience with user-centered design.
  • Familiarity with data curation and data sharing processes and policies.
  • Experience with metadata standards for scientific data.
  • Expertise with programming in a language such as Python or R.
  • Ability to develop training/tutorial/webinar content.
  • Familiarity with NIH awards.

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.