Komen Graduate Training Program UT MDACC · 1 month ago
Postdoctoral Fellow - AI for Drug Discovery (Bissan Al-Lazikani Lab)
Houston, TX
Full-time
Onsite
Senior LevelKomen Graduate Training Program UT MDACC is seeking a Postdoctoral Fellow in the Department of Genomic Medicine. The role focuses on developing and deploying AI models to enhance cancer drug discovery, addressing challenges from target identification to drug design and development.
Hospital & Health Care
Responsibilities
Develop and deploy Artificial Intelligence models to advance cancer drug discovery by solving key challenges, from target identification to drug design and development
Gain an understanding of key components and bottlenecks in cancer drug discovery
Develop an understanding of a hands-on experience in data science analytics and model development to address these bottlenecks
Learn to train, benchmark, and deploy deep neural networks and foundation models
Learn to apply iterative, human-in-the-loop AI models in the context of cancer drug discovery and validate these models in collaboration with experimental researchers
Develop hands-on expertise in AI applications within one or more key areas: patient profiling and imaging data science; structural biology and protein structure prediction; drug design; and forecasting models for drug resistance
Collaborate with multidisciplinary partners, requiring excellent written and verbal communication skills
Report and share findings with the broader cancer and drug discovery research community through published articles and presentations
Qualification
Required
Individuals with a PhD in computer science and a strong desire to apply and advance their skill set with chemical and biological structural data are encouraged to apply
A strong computational background is required
Expertise with PyTorch and torch-geometric, or equivalent technologies, is essential
Experience working in a high-performance computing environment (Unix/Linux) using state-of-the-art GPU computing is required
Alternatively, candidates with a PhD in computational biology and demonstrable experience in Python, Jupyter Notebook, or equivalent technologies, applying bioinformatics or computational techniques to biomedical data, are encouraged to apply
Candidates' eagerness to grow in these related fields is crucial
Excellent written and verbal communication skills
Preferred
Experience with other deep learning and generative methods
Some understanding of databases related to several of the following-cancer genomes, structural biology, and chemistry
Company
Komen Graduate Training Program UT MDACC
Through generous funding from Susan G.
11-50 employees
H1B Sponsorship
Komen Graduate Training Program UT MDACC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase