Postdoctoral Associate

Summary

Postdoctoral positions in cheminformatics are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python).

Job Duties

• Plans, directs and conducts research experiments.
• Develops research techniques and perform applications required for specific research projects.
• Conducts literature searches and summarize information in an appropriate format for a particular study.
• Documents results of experiments and reports to principal investigators.
  

Minimum Qualifications

• Education Required: MD or Ph.D. in Basic Science, Health Science, or a related field.
• Experience Required: None Required.
• Certification/Licenses/Registration: None Required.

Preferred Qualifications

• Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or related discipline.
• Experience may not be substituted in lieu of degree.
• Proficiency in coding and debugging in Python; Strong knowledge and experience with relational databases (e.g. Oracle, SQL, MySQL); Comfortable working in a Linux environment; Experience with data processing pipelines and data analysis.
• Experience in cheminformatics software development.
• Experience in developing machine learning, deep learning tools, especially with application in drug discovery.
• Excellent communication skills with a diverse team of biological and chemical scientists.
• Experience with high performance computing environment (HPC) / cluster job submission.
• Knowledge of statistical methods, data science algorithms, scientific and numerical computation.
• Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit.
• The successful candidate should have experience with development of open-source computational tools (machine learning, deep learning, cheminformatics), especially with application in drug discovery.