Machine or Deep Learning - Biostatistics
MD Anderson
The Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center has an open postdoctoral fellow position with the main focus on specializing in developing and deploying AI-driven solutions for immunology discovery. The postdoctoral fellow will work in the Tao Wang lab under the joint supervision of Dr. Tao Wang and Dr. John Weinstein.
The Tao Wang Lab is a top and well-established bioinformatics research group, Dr. Wang's interdisciplinary research integrates machine learning, statistics, medicine, and biology to extract meaningful insights from high-dimensional biomedical data. The ultimate goal will be to transform patient care by improving disease prediction, personalizing treatment, and therapeutic discovery.
LEARNING OBJECTIVES
1. Developing novel methods for analysis and integration of genomics, proteomics, spatial/imaging, and other forms of high-dimensional
-omics data and developing prediction models for patients' clinical outcomes.
2. Assembling and statistical analyses of big biomedical data to reveal significant and novel biological insights.
3. Creating databases and websites for the management of big biological data.
4. Application for independent funding under the support of the PI.
ELIGIBILITY REQUIREMENTS
Candidates must have a doctoral degree from a reputable University/Institute and be within 0-1 years of graduation (or will have one soon). Must have an interest in 100% "dry" research or research that is half "dry" and half "wet". Candidates who have switched from 100% "wet" research backgrounds are also welcome to apply, as long as he/she has demonstrated a keen interest in, has a decent exposure to, and has a clear potential for "dry" research.
ADDITIONAL APPLICATION INFORMATION
Please submit two letters of reference and please provide a link to your most recent publications in peer reviewed journals
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition06/01/2025 Apply
The Tao Wang Lab is a top and well-established bioinformatics research group, Dr. Wang's interdisciplinary research integrates machine learning, statistics, medicine, and biology to extract meaningful insights from high-dimensional biomedical data. The ultimate goal will be to transform patient care by improving disease prediction, personalizing treatment, and therapeutic discovery.
LEARNING OBJECTIVES
1. Developing novel methods for analysis and integration of genomics, proteomics, spatial/imaging, and other forms of high-dimensional
-omics data and developing prediction models for patients' clinical outcomes.
2. Assembling and statistical analyses of big biomedical data to reveal significant and novel biological insights.
3. Creating databases and websites for the management of big biological data.
4. Application for independent funding under the support of the PI.
ELIGIBILITY REQUIREMENTS
Candidates must have a doctoral degree from a reputable University/Institute and be within 0-1 years of graduation (or will have one soon). Must have an interest in 100% "dry" research or research that is half "dry" and half "wet". Candidates who have switched from 100% "wet" research backgrounds are also welcome to apply, as long as he/she has demonstrated a keen interest in, has a decent exposure to, and has a clear potential for "dry" research.
ADDITIONAL APPLICATION INFORMATION
Please submit two letters of reference and please provide a link to your most recent publications in peer reviewed journals
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition06/01/2025 Apply
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