Postdoctoral Fellow - Genomic Medicine
- Employer
- University of Texas MD Anderson Cancer Center
- Location
- Houston, Texas
- Salary
- Competitive
- Closing date
- Aug 28, 2023
View more
- Discipline
- Health Sciences
- Organization Type
- Healthcare/Hospital
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Job Details
We seek a driven and technically adept Postdoctoral Fellow to develop and deploy a comprehensive chemical probes library and machine learning-driven assessment tool to inform cancer translational research. The primary research focus is to apply cutting-edge cheminformatics and data science methods to curate and quantitatively assess chemical probes used throughout the literature using factors such as selectivity and potency, among others. In particular, the aim is two-fold: to identify the most informative chemical probes and to avoid the usage of misleading probes for a particular problem. These efforts will directly impact novel drug discovery at MD Anderson as well as inform the wider community on the application of the right probe for the right problem.
LEARNING OBJECTIVES
Gain a molecular understanding of probes, their features, and their applications. Curate a knowledge base to advance target validation as part of drug development. Build predictive models that evaluate a probe's fitness for given applications.
ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in computational or medicinal chemistry, computational structural biology, or data science with a strong history of application in the life sciences are encouraged to apply. A strong computational background is required, with proficiency in Python. Familiarity with RDKit, DeepChem, and other cheminformatics libraries is essential. Experience working in a high-performance computing environment (Unix/Linux) is highly preferred. Some understanding of cancer biology and molecular biology is a plus, but a desire to expand in these related fields is crucial. The ability to work with multidisciplinary partners is a must. A strong publication
LEARNING OBJECTIVES
Gain a molecular understanding of probes, their features, and their applications. Curate a knowledge base to advance target validation as part of drug development. Build predictive models that evaluate a probe's fitness for given applications.
ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in computational or medicinal chemistry, computational structural biology, or data science with a strong history of application in the life sciences are encouraged to apply. A strong computational background is required, with proficiency in Python. Familiarity with RDKit, DeepChem, and other cheminformatics libraries is essential. Experience working in a high-performance computing environment (Unix/Linux) is highly preferred. Some understanding of cancer biology and molecular biology is a plus, but a desire to expand in these related fields is crucial. The ability to work with multidisciplinary partners is a must. A strong publication
Company
The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
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