Data Science Fellow – Rice University Ken Kennedy Institute for Information Technology

The Ken Kennedy Institute at Rice University, established in 1987, is dedicated to solving critical global challenges with collaborative approaches that focus on innovations in computing and harnessing the transformative power of data. The Institute is the virtual home of over two hundred faculty members and senior researchers at Rice University spanning computer science, mathematics, statistics, engineering, natural sciences, humanities, social sciences, business, architecture and music. Primarily, the Institute is a catalyst for research collaborations across the conventional boundaries of university, department, center and laboratory. Our increasingly complex world demands solutions that span disciplines. Today, most of our activities are in machine learning, AI, data science, and high performance computing and on how these can provide insight and enable convergent research in medicine, engineering, natural sciences, social sciences, humanities and the arts.
The data scientist will manage clinical research projects involving the application of novel machine learning algorithms; identify core requirements and key stakeholders for successful project completion; and identify project bottlenecks, find solutions, and push project implementation forward. S/he will manage all aspects of data access and data cleaning/standardization in order to prepare raw data for feature creation.
Successful candidates will work within multiple teams and need to be self-driven and comfortable working independently.
This is a benefits eligible two-year term limited position with the possibility of extension based upon need and available funding

Experience Preferred

  • Experience which may include experience gained as an undergraduate/graduate student or training gained subsequent to graduation is acceptable
  • Experience in Python
  • Experience applying statistics to clinical data
  • Experience applying machine learning algorithms to clinical data
  • Experience in cloud environments
  • Experience with Linux and Spark (or related)
  • Experience in imaging data
  • Experience in designing and implementing efficient algorithms
  • Experience in application and design of machine learning algorithms to large data sets
  • Experience developing data pipelines that include model application

Skills Required

  • Knowledge of software statistical packages such as Stata, SAS, R, or HLM
  • Excellent analytical and research skills
  • Ability to build reports
  • Excellent verbal and written communications skills including proofreading
  • Excellent presentation skills

Essential Functions

  • Participates in the design, planning and implementation of research projects and data analysis
  • Identifies, locates and obtains data/information
  • Utilizes statistical software to quantify data
  • Designs database models
  • Builds automated reporting solutions
  • Manipulates and cleans-up data
  • Completes data analysis
  • Reports research findings
  • Ensures information presented is valid and accurate
  • Develops presentations and reports
  • Performs all other duties as assigned

Additional Functions

  • Works on clinical research projects involving the application of novel machine learning algorithms
  • Responsible for all aspects of data access and data cleaning/standardization in order to prepare raw data for feature creation
  • Works with Rice faculty to apply and develop data science and machine learning algorithms for clinical data
  • Works with data team to provide information and decision support
  • Creates presentations to communicate data insights and findings with external technical and non-technical audiences
  • Functions as part of multiple teams across institutions
  • Coordinates with multiple scientists to move grant process forward
  • Writes high-quality grant proposal narratives and supporting documents
  • Works with graduate students when applicable
  • Communicates with research partners to improve the research infrastructure
  • Leads in the development of modules and tools to perform various tasks as required

Interested applicants can find out more information at the RICEWorks! website at