BIDMC, Arnaout Laboratory

Position ID:BIDMC-Arnaout Laboratory-PFC [#24953]
Position Title: Postdoctoral Fellow, Computational
Position Type:Postdoctoral
Position Location:Boston, Massachusetts 02215, United States
Subject Areas: Immunology / T cells
Academic
Structural Biology / Computational Biology
Systems Biology
Bioinformatics / Genomics (more...)
Salary Range:80000-100000
Appl Deadline:2023/06/19 11:59PMhelp popup (posted 2023/06/04)
Position Description:    

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
  1. Devise, test, and implement computational algorithms for large-scale data
  2. Contribute to the generation of standard protocols and intellectual property 

Core Qualifications
  1. PhD degree in physics, mathematics, computational/systems biology, machine learning, artificial intelligence, immunology, bioinformatics, or related field, or equivalent practical experience
  2. 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. 
  3. Hands-on expertise with statistical descriptions of complex systems (e.g. energy, entropy, moments, etc. and see under 2 above) and their theoretical underpinnings 
  4. 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. 
  5. Demonstrated expertise in computational analysis of large data sets, ideally biological sequence-based data sets and 3D protein structures 
  6. Excellent creativity, decision-making, troubleshooting, and English-language communication skills 
  7. Comfort with and excitement about working in a startup-type atmosphere

Preferred Qualifications:
  1. Prior experience with implementing deep learning methods
  2. Prior experience with high-performance computing clusters (SLURM, LSF or PBS schedulers), and AWS 
  3. Expertise with using Python libraries like Numpy, Scipy, Pandas, Matplotlib, Seaborn, and Tensorflow 
  4. Prior experience with/training in structural biology, immunology, cancer, and/or infectious disease 
  5. 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

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
https://arnaoutlab.org
email address
 
BIDMC
BIDMC-E/Dana 709
330 Brookline Avenue
Boston, MA 02215
USA