Institute Research Investigator, Computational Chemist

EDUCATION: 
Required: Bachelor's degree in biology, biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field.

Preferred: Master's or PhD in chemistry, physics, computer science, biology, biochemistry, bioinformatics, cheminformatics, or related field. 

EXPERIENCE: 
Required:  Six years experience of relevant research experience in laboratory With Master's degree, four years of required experience. With a PhD in a natural science or Medical degree, no experience required. 

Preferred: Experience in a pharma or biotech company, or a strong publication record demonstrating the application of computational chemistry to problems of pharmaceutical interest.  Scripting proficiency (eg. Python) and programming competency in a low-level language (eg. C/C++, Java). Familiarity with machine learning and AI as applied to drug discovery.  Prior experience with protein therapeutics modeling, protein degradation (ternary complex modeling, molecular glues and PROTACs), covalent inhibitor optimization, or AI-based structure prediction would be an asset.  Excellent communication, writing, and organizational skills.  

Experience with the following:

* Commercial molecular modeling software (eg. MOE, Schrodinger, BioSolveIT, OpenEye)
* Molecular dynamics simulation packages (eg. AMBER, GROMACS, Desmond)
* Chemistry-aware data visualization and analysis tools (eg. StarDrop, SpotFire, Vortex)
* Scientific workflow tools (eg. Pipeline Pilot, KNIME)

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.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html