The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics (SBMI) seeks two exceptional candidates for its Center for Data Science and Informatics Core for Cancer (DSICCR) for research assistant professor, non-tenure track, faculty. The salary is competitive and dependent upon qualifications and experience.
DSICCR has a robust computing infrastructure, a cross-disciplinary team, and a productive track record in the area of data science, informatics, and artificial intelligence. Candidates are encouraged to visit its website (https://sbmi.uth.edu/dsiccr/) to learn more about DSICCR.
Qualifications: The individual should possess a doctoral degree in the areas of bioinformatics, biostatistics, computational biology, or other quantitative sciences with research and training in bioinformatics. A record of verifiable, published research in bioinformatics is needed. The potential for obtaining extramural funding is not required, but encouraged. Excellent teamwork and communication skills are required.
Responsibilities: The successful candidate will be expected to plan, coordinate, and direct data science and informatics research and service in structural biology and related fields. The candidate will provide technical expertise to facilitate the study, design, data collection, analysis pipeline development, data analysis, and results interpretation, as well as manuscript writing and grant proposal preparation. Collaborative research with faculty at UTHealth and other Texas institutions is included among the candidate’s responsibilities.
How to Apply: All interested parties should apply through the UTHealth Career website at: http://p.rfer.us/UTHQU-DzE. Applicants are required to provide a current curriculum vitae, research statement, names and contact information of three references, and a cover letter describing the applicant's qualifications and career goals.
UTHealth is an EEO/AA employer. UTHealth does not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, genetics, disability, age or on any other basis prohibited by law. EOE/M/D/F/V.