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R & D Data Analyst (10431)

Ole Miss
Full-time
On-site
Oxford, United Kingdom

Note for Current UM Employees

Current employees must apply internally via connectU > connectu.olemiss.edu

Position Description

This position assists in the day-to-day experimentation, data collection, data analysis and development of AI/ML model based on experimental data.  This is a benefit eligible full-time position with initial appointment for one year, subject to renewal based on performance and availability of funding. The Nabi lab focuses on formulation design and development for and utilize various in vitro and in vivo methods to optimize and validate the feasibility of the formulation to be used for treating various chronic diseases including cancer, diabetes and fibrosis. 

Examples of Work Performed

The position will be responsible for conducting experiments, collaborating with lab members to collect data, prepare report and meet the Pi weekly to update the progress. The individual is also responsible for writing report, manuscript for publication and present in the weekly lab meeting.

Minimum Qualifications

Minimum Education/Experience:
Bachelor’s degree in pharmaceutics, biology/biomedical or related field. Experience in AI/ML is mandatory. 

 

Interview Requirements: 
Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

Background Check Statement

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

EEO Statement

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and affirmative action and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, citizenship, national origin, age, disability, veteran status, or genetic information.