Liver Tumor Translational Research Program (LTTRP, Hoshida lab) is a national leader in molecular classification, prognostic prediction, molecular targeted therapies, and chemoprevention in liver cirrhosis and cancer, leading several international translational liver cirrhosis/cancer genomics projects, including Precision Liver Cancer Prevention Consortium, utilizing high-throughput omics technologies and integrative clinical and cross-species systems biology analysis over the past decade. The current focuses of the Program include liver cancer risk-predictive molecular biomarkers specific to clinical contexts (e.g., geographic region, liver disease etiology, and patient race/ethnicity), individual risk-stratified personalized cancer screening based on cost-effectiveness, chemoprevention target discovery, radiogenomics, molecular subtype-guided liver cancer therapies, and informatics methodology and software by utilizing patient-derived tissues/cells, liquid biopsy of circulating biomolecules, single-cell omics, molecular digital spatial tissue profiling, clinical diagnostic platforms, nanomedicine technologies, and high-power computation.
POSITIONS
COMPUTATIONAL BIOLOGIST I-II
LTTRP is a national leader in molecular classification, prognostic prediction, molecular targeted therapies, and chemoprevention in liver cirrhosis and cancer, leading several international translational liver cirrhosis/cancer genomics projects, including Precision Liver Cancer Prevention Consortium, utilizing high-throughput omics technologies and integrative clinical and cross-species systems biology analysis over the past decade.
Data Science Laboratory provides the dedicated computational supports to LTTRP, which develops software and design the novel methodology by utilizing patient-derived tissues/cells, clinical diagnostic platforms, high-throughput multi-omics, single-cell omics, molecular digital spatial tissue profiling, spatial transcriptomics, and high-power computation.
POSITION: Computational biologist I-II
We are seeking Computational Biologists to participate in translational research projects in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations.
The job duty includes establishment of the in-house analysis pipelines for advanced NGS assays such as single-cell sequencing, spatial transcriptome profiling, fast identification of genomic DNA structural variants, omics-based clinical diagnostics, and machine-learning algorithms to identify and monitor liver cancer chemoprevention targets and accompanying pathogenic molecular pathway dysregulation in clinical liver tissues.
Requirements:
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu & Shijia.Zhu@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program, Associate Professor
Shijia Zhu, PhD
Head, Data Science Laboratory, Assistant Professor
Harold C. Simmons Comprehensive Cancer Center
Division of Digestive and Liver Diseases, Department of Internal Medicine
University of Texas Southwestern Medical Center
LTTRP is a national leader in molecular classification, prognostic prediction, molecular targeted therapies, and chemoprevention in liver cirrhosis and cancer, leading several international translational liver cirrhosis/cancer genomics projects, including Precision Liver Cancer Prevention Consortium, utilizing high-throughput omics technologies and integrative clinical and cross-species systems biology analysis over the past decade.
Data Science Laboratory provides the dedicated computational supports to LTTRP, which develops software and design the novel methodology by utilizing patient-derived tissues/cells, clinical diagnostic platforms, high-throughput multi-omics, single-cell omics, molecular digital spatial tissue profiling, spatial transcriptomics, and high-power computation.
POSITION: Computational biologist I-II
We are seeking Computational Biologists to participate in translational research projects in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations.
The job duty includes establishment of the in-house analysis pipelines for advanced NGS assays such as single-cell sequencing, spatial transcriptome profiling, fast identification of genomic DNA structural variants, omics-based clinical diagnostics, and machine-learning algorithms to identify and monitor liver cancer chemoprevention targets and accompanying pathogenic molecular pathway dysregulation in clinical liver tissues.
Requirements:
- A master degree or equivalent in related field (bioinformatics, biostatistics, physics, engineering, etc.).
- Strong programming skills: (e.g., Python, C, Matlab, R, and Unix Shell).
- Quantitative data analysis experience (machine learning, biostatistics, etc.) and/or computational genomics experiences (high-throughput omics sequencing data analysis, etc.).
- Quick learning capability for new technologies and analytical methods
- Strong interpersonal skills and a track record of collaborative work in multidisciplinary research environment.
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu & Shijia.Zhu@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program, Associate Professor
Shijia Zhu, PhD
Head, Data Science Laboratory, Assistant Professor
Harold C. Simmons Comprehensive Cancer Center
Division of Digestive and Liver Diseases, Department of Internal Medicine
University of Texas Southwestern Medical Center
POSTDOC FELLOW in COMPUTATIONAL BIOLOGY and BIOINFORMATICS
LTTRP is a national leader in molecular classification, prognostic prediction, molecular targeted therapies, and chemoprevention in liver cirrhosis and cancer, leading several international translational liver cirrhosis/cancer genomics projects, including Precision Liver Cancer Prevention Consortium, utilizing high-throughput omics technologies and integrative clinical and cross-species systems biology analysis over the past decade.
Data Science Laboratory provides the dedicated computational supports to LTTRP, which develops software and design the novel methodology by utilizing patient-derived tissues/cells, clinical diagnostic platforms, high-throughput multi-omics, single-cell omics, molecular digital spatial tissue profiling, spatial transcriptomics, and high-power computation.
POSITIONS
Postdoc fellow in computational biology and bioinformatics
We are seeking postdoc fellows experienced in computational biology and bioinformatics to participate in translational research projects for clinical outcome prediction, disease classification, and therapeutic target discovery in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations. The lab is a part of the NIH/NCI-supported Simmons Comprehensive Cancer Center, housing cutting-edge research facilities and world-class scientists, located in the Dallas metropolitan area, one of the nation’s fastest growing cities.
Requirements:
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu & Shijia.Zhu@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program, Associate Professor
Shijia Zhu, PhD
Head, Data Science Laboratory, Assistant Professor
Harold C. Simmons Comprehensive Cancer Center
Division of Digestive and Liver Diseases, Department of Internal Medicine
University of Texas Southwestern Medical Center
LTTRP is a national leader in molecular classification, prognostic prediction, molecular targeted therapies, and chemoprevention in liver cirrhosis and cancer, leading several international translational liver cirrhosis/cancer genomics projects, including Precision Liver Cancer Prevention Consortium, utilizing high-throughput omics technologies and integrative clinical and cross-species systems biology analysis over the past decade.
Data Science Laboratory provides the dedicated computational supports to LTTRP, which develops software and design the novel methodology by utilizing patient-derived tissues/cells, clinical diagnostic platforms, high-throughput multi-omics, single-cell omics, molecular digital spatial tissue profiling, spatial transcriptomics, and high-power computation.
POSITIONS
Postdoc fellow in computational biology and bioinformatics
We are seeking postdoc fellows experienced in computational biology and bioinformatics to participate in translational research projects for clinical outcome prediction, disease classification, and therapeutic target discovery in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations. The lab is a part of the NIH/NCI-supported Simmons Comprehensive Cancer Center, housing cutting-edge research facilities and world-class scientists, located in the Dallas metropolitan area, one of the nation’s fastest growing cities.
Requirements:
- A PhD degree in related field (bioinformatics, physics, statistics, engineering, etc.) obtained in the last 1~2 years.
- Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics experiences (high-throughput omics sequencing data analysis, etc.) or other relevant areas.
- Strong programming skills: (e.g., Python, C, Matlab, R, and Unix Shell).
- Quick learning capability for new technologies and analytical methods
- Strong interpersonal skills and a track record of collaborative work in multidisciplinary research environment.
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu & Shijia.Zhu@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program, Associate Professor
Shijia Zhu, PhD
Head, Data Science Laboratory, Assistant Professor
Harold C. Simmons Comprehensive Cancer Center
Division of Digestive and Liver Diseases, Department of Internal Medicine
University of Texas Southwestern Medical Center
POSTDOC IN TRANSLATIONAL RESEARCH OF LIVER CIRRHOSIS AND CANCER
We are seeking postdoc fellows experienced in liver cell biology and/or clinical hepatology to participate in translational research projects for clinical outcome prediction, disease classification, and therapeutic target discovery in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations. The lab is a part of the NIH/NCI-supported Simmons Comprehensive Cancer Center, housing cutting-edge research facilities and world-class scientists, located in the Dallas metropolitan area, one of the nation’s fastest growing cities.
Requirements:
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program
CPRIT Scholar in Cancer Research
Harold C. Simmons Comprehensive Cancer Center
Associate Professor of Medicine
Division of Digestive and Liver Diseases
Department of Internal Medicine
University of Texas Southwestern Medical Center
We are seeking postdoc fellows experienced in liver cell biology and/or clinical hepatology to participate in translational research projects for clinical outcome prediction, disease classification, and therapeutic target discovery in liver cirrhosis and cancer. The candidates will work with multidisciplinary team of physician scientists, basic biologists, computational biologists, and clinicians at the institution and national/international collaborating institutions, and have ample opportunities of scientific publications and presentations. The lab is a part of the NIH/NCI-supported Simmons Comprehensive Cancer Center, housing cutting-edge research facilities and world-class scientists, located in the Dallas metropolitan area, one of the nation’s fastest growing cities.
Requirements:
- Highly motivated MD, PhD, MD/PhD or equivalent in molecular biology, systems biology, or other relevant areas.
- Expertise in pathogenic liver cell biology and molecular biology techniques.
- Experience in high-throughput omics assays and data analysis.
- Quick learner of new technologies and analytical methods.
- Strong interpersonal skills and a track record of collaborative work in multidisciplinary research environment.
- Fellowship holders will be prioritized.
To apply, please email CV, cover letter, and contact information of 3 references to: Yujin.Hoshida@UTSouthwestern.edu
Yujin Hoshida, MD, PhD
Director, Liver Tumor Translational Research Program
CPRIT Scholar in Cancer Research
Harold C. Simmons Comprehensive Cancer Center
Associate Professor of Medicine
Division of Digestive and Liver Diseases
Department of Internal Medicine
University of Texas Southwestern Medical Center