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Bioinformatics Postdoctoral Fellow

Employer
University of Texas, Health Science Center at Houston
Location
Houston, Texas (US)
Salary
Commensurate with experience
Closing date
Apr 7, 2024

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Embark on a groundbreaking journey by applying for a postdoctoral position within the Data Science and Informatics Core for Cancer Research (DSICCR: https://sbmi.uth.edu/dsiccr/) at the University of Texas Health Science Center at Houston (UTHealth). We are eager to welcome highly motivated individuals to join the dynamic and innovative research environment in Dr. W. Jim Zheng's group (https://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm) at the McWilliams School of Biomedical Informatics (MSBMI).

RESPONSIBILITIES: As a successful candidate, you will apply your bioinformatics/biostatistics skills to play a pivotal role in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development. Your responsibilities will extend to collaborative research with esteemed faculty at UTHealth and other institutions, fostering a dynamic and interdisciplinary approach to AI and data science.

DSICCR is renowned for its productive track record in data science, informatics, and AI (https://sbmi.uth.edu/dsiccr/outcomes). Past postdoctoral fellows have made significant contributions to high-impact publications and played key roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018) and Nature Communications (Yuan, et al., 12, 2031, doi:10.1038/s41467-021-22200-5, 2021).

As a member of our research community, you will benefit from comprehensive training in AI research and gain hands-on experience with DSICCR's advanced computing infrastructure (https://sbmi.uth.edu/dsiccr/resources). This includes access to a Hadoop cluster, a large memory server, state-of-the-art Nvidia GPU servers (including the world's first Nvidia DGX H100 server), and an High-Performance Computing (HPC) cluster at the Texas Advanced Computing Center.

Located in the heart of the Texas Medical Center in Houston, the fourth largest city in the United States, UTHealth offers a cosmopolitan setting for your academic and professional growth. Join us in our commitment to advancing the frontier of AI and data science applied to basic research and clinical practice. We look forward to welcoming an enthusiastic and dedicated postdoctoral fellow to contribute to our collaborative and innovative research environment.

APPOINTMENTS/BENEFITS: This is a full-time, 12-month appointment, renewable annually with comprehensive benefits. Anticipated postdoctoral training duration is 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. Essential qualifications include experience in analyzing genomic data, particularly single-cell sequencing data, and a proven record of published research in bioinformatics. 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 wenjin.j.zheng@uth.tmc.edu.The candidate should provide a current curriculum vitae 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.

 

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