Publisher
source

Baylor College of Medicine

Postdoctoral Associate in Cheminformatics, Machine Learning, and Drug Discovery Baylor College of Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary range listed as $63,480. Baylor College of Medicine notes that it typically follows NIH-stipulated stipend guidelines for Postdoctoral Associates.

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Country

United States

University

Baylor College of Medicine

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Deep Learning
Biology
Computational Chemistry
Computational Biology
Computational Science
Medical Science
High Performance Computing
Pharmaceutical Chemistry
Chemoinformatics
Bioinformatic
ML

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About this position

Postdoctoral Associate opening in cheminformatics at Baylor College of Medicine in Houston, Texas, United States.

The position is in the Zhi Tan laboratory and focuses on interdisciplinary research combining deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics for complex diseases, including cancers.

The ideal candidate has a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools. Preferred experience includes bioinformatics, computational biology, HPC/cluster computing, Python, RDKit, data science, relational databases, Linux, and scientific computing.

Minimum qualification: MD or PhD in Basic Science, Health Science, or a related field. The posting is for an onsite-only postdoctoral role.

Funding information: salary range is $63,480, and the institution states it typically follows NIH stipend guidelines for postdoctoral associates.

Apply via the official Baylor College of Medicine careers posting. No deadline is listed in the post.

Funding details

Salary range listed as $63,480. Baylor College of Medicine notes that it typically follows NIH-stipulated stipend guidelines for Postdoctoral Associates.

What's required

MD or PhD in Basic Science, Health Science, or a related field. Preferred: doctoral degree in computational chemistry, bioinformatics, computational biology, or related discipline; experience in cheminformatics software development; experience developing machine learning/deep learning tools for drug discovery; HPC/cluster job submission experience; knowledge of statistical methods, data science algorithms, scientific and numerical computation; familiarity with Python tools such as Pandas, NumPy, SciPy, Django, and RDKit; strong coding/debugging skills in Python; experience with relational databases such as Oracle, SQL, or MySQL; comfort working in Linux; experience with data processing pipelines and data analysis; excellent communication skills; experience developing open-source computational tools.

How to apply

Apply through the Baylor College of Medicine job posting using the Apply now link on the careers page. Review the job description and submit the application materials through the online portal.

More information can be found here

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