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Data Science and Informatics Core for Cancer Research

Careers


Bioinformatics Postdoctoral Fellow
Data Science and Informatics Core for Cancer Research (DSICCR)
McWilliams UTHealth School of Biomedical Informatics

The Data Science and Informatics Core for Cancer Research DSICCR at McWilliams School of Biomedical Informatics (SBMI), the University of Texas Health Science Center at Houston (UTHealth), has a bioinformatics postdoc position available immediately in Dr. W. Jim Zheng’s group (https://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm).

RESPONSIBILITIES: The successful candidate is expected to receive postdoctoral training or work on projects in data science, AI, and informatics through research projects within DSICCR. The candidate will be involved in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, and manuscript writing.  There could also be opportunities to participate in grant proposal preparation and teaching/mentoring. The candidate's responsibilities include research projects in AI and data science, and collaborative research with faculty at UTHealth and other institutions. The successful candidate will receive training in a dynamic environment at MSBMI with very active research, education, and application of informatics to clinical practice. Furthermore, the candidate will receive training in AI research and DSICCR's advanced computing infrastructure: a Hadoop cluster, a large memory server, several advanced Nvidia GPU servers, including the world's first Nvidia DGX H100 server, as well as an HPC cluster at the Texas Advanced Computing Center.

DSICCR has a cross-disciplinary team and a productive track record in data science, informatics, and artificial intelligence. Candidates are encouraged to visit its website (https://sbmi.uth.edu/dsiccr/) to learn more about DSICCR. Past postdocs have had success in publishing high impacct papers (Zhu and Zheng, JAMA, 320(11):1103-1104, 2018, PMID: 30326503; Yuan, et al., Nature Communications, 12, 2031, doi:10.1038/s41467-021-22200-5, 2021, PMID: 33795676) and are significant contributors of our winning teams in the national and international competitions (BioCreative and LitCoin NLP Challenge). UTHealth is in the world-renowned Texas Medical Center (TMC) in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers PhD and Master's degrees; it also features certificate programs in biomedical and health informatics.

APPOINTMENTS/BENEFITS: This position is a full-time, 12-month appointment renewable yearly with full benefit. We expect the postdoc training to last 2-3 years with multiple fellowship support opportunities. H1-B sponsorship can be provided as needed.

QUALIFICATIONS: The individual should possess a Ph.D. in bioinformatics, biostatistics, or computational biology with a strong training and track record in biostatistics/statistics methodology development and application. A record of verifiable, published research in bioinformatics is required. Excellent teamwork, communication skills, and the ability to develop and maintain high-quality collaborations are required.

HOW TO APPLY: Note that all application materials must be submitted to [email protected].The candidate should provide a current curriculum vitae, a research statement, contact information for three references, and a cover letter describing qualifications and career goals as part of the application process.

SALARY: Comply with NIH postdoc salary standards based on the qualifications and experience.

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 any other basis prohibited by law. EOE/M/D/F/V. This is a security sensitive position and thereby subject to Texas Education Code § 51.215. A background check will be required for the final candidate.