Recruiting: post-doctoral researcher in bioinformatics
Tao Wang Lab at UT Southwestern Medical Center
The University of Texas Southwestern Medical Center (UTSW) is an elite research institution, with ongoing support from the National Institutes of Health and other federal agencies, foundations, individuals, and corporations providing more than $360 million per year to fund research. The faculty includes many distinguished members who have inspired the development of the Medical Center over this time, including 6 Nobel laureates, 22 National Academy of Science members, 16 National Academy of Medicine members and 13 investigators in the Howard Hughes Medical Institute.
The Tao Wang Lab is a top and well-established bioinformatics research group at UTSW. Statistics, informatics, medicine, and biology are the four integral pillars of interdisciplinary research program of the Tao Wang Lab. Dr. Wang has been working on mining public and in-house high throughput data to achieve a deeper understanding of the immunology of various human diseases, with a heavy emphasis on cancers, and its implications for diagnosis, prognosis, and treatment. The core research interest of Wang Lab is in development of methodologies for analyses of tumor immunogenomics, computational immunology, scRNA-seq data. The ultimate goal is to impact the prognosis and treatment of patients suffering from cancers and other diseases, through modeling of high dimensional data, especially genomics data. Tao Wang Lab has published 51 papers in top journals, such as Nature Machine Intelligence (2022, Zhang and Park et al), Nature Machine Intelligence (2021, Lu et al), Nature Methods (2021, Zhang et al), Science Immunology (2020, Lu et al), Cancer Discovery (2018, Wang et al), SMMR (2020, Park et al), Cell (2019, Zhu et al), since its establishment in 2016. Wang Lab holds two patents.
At UTSW, there are great opportunities for scientists to collaborate with outstanding biomedical investigators and work on exciting research projects. UT Southwestern and the Tao Wang Lab provide a friendly, dynamic, collaborative, and integrative research and training environment with state-of-the-art facilities. UTSW is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.
Postdoctoral Fellow (Bioinformatics/Biostatistics/Computer Science/Computational Biology/Machine or Deep Learning)
Duties & Responsibilities
The projects include (1) developing novel methods for analysis and integration of cancer genomics, proteomics, imaging and other forms of high-dimensional -omics data, and developing prediction models for patient clinical outcomes, (2) assembling and statistical analyses of big clinical data, (3) creating databases and websites for management of big biological data. (4) Application for independent funding under the support of the PI.
Candidates should have a doctoral degree (or will have one soon) in either one of the following fields, including genetics/genomics, bioinformatics, computer science, biostatistics, computational biology or a related field.
Lab website: https://qbrc.swmed.edu/labs/wanglab/index.php
Google scholar: https://scholar.google.com/citations?user=nu0-Gn4AAAAJ&hl=en
QBRC with which Wang lab is affiliated with: https://qbrc.swmed.edu/
School of Public Health with which Wang lab is affiliated with: https://www.utsouthwestern.edu/education/public-health/ (newly founded)
(1) Benisse for Interpreting the B Cell Receptor Repertoire with Single Cell Gene Expression. Nature Machine Intelligence. 2022. (In press)
(2) Sprod for De-noising Spatial Transcriptomics Data Based on Position and Image Information. Nature Methods. 2022. (In press)
(3) Deep learning-based prediction of the T cell receptor-antigen binding specificity. Nature Machine Intelligence. 2021.
(4) Mapping the Functional Landscape of T Cell Receptor Repertoire by Single T Cell Transcriptomics. Nature Methods. 2020.
(5) Tumor Neoantigenicity Assessment with CSiN Score Incorporates Clonality and Immunogenicity to Predict Immunotherapy Outcomes. Science Immunology. 2020.
(6) Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease. Cell. 2019.
Please send your CV to: Dr. Tao Wang (Tao.Wang@UTSouthwestern.edu). Please do not add compressed files (e.g. zip files) in the email attachment, which will be blocked by UTSW firewall.