Postdoctoral Fellow / Research Computational Biologist (r05.23)
The Arnaout Laboratory for Immunomics and Informatics uses experiments, mathematics, and machines for immunomics, microbiology, and AI/ML.
We are looking for postdoc-level quantitative people with training in physics, mathematics, computer science, quantitative biology, AI/ML, or related fields for various projects. These include analysis of over 1,000 immunomes, developing new ways to measure AI/ML dataset quality, and fast ways to estimate entropies of large systems.
Responsibilities - Devise, test, and implement computational algorithms for large-scale data
- Contribute to the generation of standard protocols and intellectual property
Core Qualifications - PhD degree in physics, mathematics, computational/systems biology, machine learning, artificial intelligence, immunology, bioinformatics, or related field, or equivalent practical experience
- Hands-on experience designing and implementing computer algorithms, including supervised and unsupervised machine learning methods like Regression analysis, SVM, deep learning (autoencoders, transformers, geometric deep learning, dynamical systems, model decomposition), etc.
- Hands-on expertise with statistical descriptions of complex systems (e.g. energy, entropy, moments, etc. and see under 2 above) and their theoretical underpinnings
- Fluency in Unix/Linux environments, Python and ideally other standard bioinformatics tools (e.g. R, Perl, C, bash/csh/zsh, CUDA, OpenGL), ideally including hands-on experience with parallel processing.
- Demonstrated expertise in computational analysis of large data sets, ideally biological sequence-based data sets and 3D protein structures
- Excellent creativity, decision-making, troubleshooting, and English-language communication skills
- Comfort with and excitement about working in a startup-type atmosphere
Preferred Qualifications: - Prior experience with implementing deep learning methods
- Prior experience with high-performance computing clusters (SLURM, LSF or PBS schedulers), and AWS
- Expertise with using Python libraries like Numpy, Scipy, Pandas, Matplotlib, Seaborn, and Tensorflow
- Prior experience with/training in structural biology, immunology, cancer, and/or infectious disease
- Experience with web applications/portals (e.g. Shiny Server or Python analogs)
Start date
As soon as possible
How to apply
Please send an email to Dr. Arnaout and include your CV and a brief motivation letter
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