At UT MD Anderson we seek a talented, energetic, and collaborative AI-driven Computational Chemist to conduct both routine and novel analyses as part of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With experience in molecular generation, foundation models, and QSAR/QSPR modeling, the AI Computational Chemist will contribute to the discovery of novel cancer therapeutics as part of A3D3a.
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies.
Central to this vision, the AI Computational Chemist will leverage state-of-the-art generative and foundation models and, collaboratively with senior scientists, develop innovative data science approaches to propose chemical matter, propose drug-target interactions of on- and off-target effects, and rationalize toxicity patterns. While physics- or docking-based approaches may complement work in this position, proficiency in AI/ML based computational chemistry and cheminformatics is a must.
The ideal candidate should have at least a MSc in Chemistry, Biochemistry, Computer Science, or a related field. Expertise and comfortability with large data and a willingness to learn new approaches is critical to this role.
JOB RESPONSIBILITIES
* Apply generative models to propose chemical matter for targets of interest.
* Develop novel methods in coordination with senior scientists.
* Develop QSAR/QSPR models from public and internal data.
* Document work thoroughly
* Produce output for scientific publications and contribute to said publications
* Present results at multidisciplinary project meetings as well as external meetings
Other Duties:
* Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.
* Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.
Ideal candidate will have Cheminformatics and Computational experience with an advanced degree for 2+ years plus:
* Expertise in scientific computing using Python in a Unix environment, comprising of GPU computing
* Proficient with generative AI for molecular generation
* Proficient in PyTorch, rdkit, and other machine/deep learning utilities for cheminformatics
* Familiar programmatically accessing public databases such as ChEMBL
* Experience with molecular visualization tools (i.e., PyMol, VMD)
* Familiar with basic statistical testing
EDUCATION:
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Preferred: Master's Degree Science, Engineering or related field. PhD Science, Engineering or related field.
EXPERIENCE:
Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year experience. With PhD, no experience required.
Preferred: Computational Chemist
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 recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
