Join the Ken Kennedy Institute Team. Apply now for the Data Science Fellow position. Apply at: https://jobs.rice.edu/postings/24863.

Open Date: 10/19/2020

Close Date: 11/02/2020

Salary Information: $42,100-$67,400

The data science fellow will work on clinical research projects involving the application of novel machine learning algorithms; be responsible for all aspects of data access and data cleaning/standardization in order to prepare raw data for feature creation; and work with Rice faculty to apply and develop data science and machine learning algorithms for clinical data.

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.

Education Required: Bachelor's Degree

Substitution for Education Requirement: May substitute additional related experience, above and beyond what is required, on an equivalent year for year basis in lieu of the education requirement.

Education Preferred: Master's degree or an advanced degree in computer science, math, statistics, physics, computational biology, or a closely related field.

Experience Required: 3 years

Type of Experience: Related experience in computation and data.

Substitution for Experience Requirement: May substitute additional related education, above and beyond what is required, on an equivalent year for year basis in lieu of the experience requirement.

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

License/Certification Required: None

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

Skills Preferred:

• Excellent teamwork and orgnaizational skills
• Able to work in a fast-paced environment on a wide range of projects
• SQL ability and knowledge of relational databases, data modeling, and schema normalization techniques
• Knowledge of patient databases

Internal/External Contacts:

• Internal Contacts - Contact with Rice University leadership, faculty, students, and staff
• External Contacts - Contact with industrial partners, corporations, government agencies and officials, NGOs, and foundations

Physical Demands: Requires working in front of a computer for extended periods of time (up to eight hours per day)

Working Conditions:

• Typical office environment
• Monday-Friday: 8a.m. - 5p.m.
• May be required to work overtime and/or weekends to support programs, to meet deadlines, or in the event of an emergency

Essential Personnel: Position is not considered essential during a campus emergency.

Rice University Standard of Civility: Serves as a representative of the University, displaying courtesy, tact, cosnideration and discretion in all interactions with other members of the RIce community and with the public.

Security Sensitive: As defined under the Texas Education Code and Rice Policy No. 425, this position is security sensitive and employment in this position is contingent upon the successful completion of a background check.

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 or Information:

• 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