Two postdoctoral positions are open at the Das Lab (www.nationwidechildrens.org/jayajit-das) at the Battelle Center for Mathematical Medicine at The Research Institute at Nationwide Children’s Hospital and the Ohio State University located at Columbus, Ohio, USA. The positions are funded by the National Institutes of Health (NIH). Specific details regarding the positions are provided below.
1. For the first position, we are seeking outstanding candidates who are interested in applying computational/mathematical methods for analyzing protein sequence and single cell data for developing models for Natural Killer cells responding to viral infections. The fellow is expected to work closely with our experimental collaborators and analyze KIR, HLA sequence data from donors and replicon experiments, and develop data-driven and mechanistic mathematical models. The candidate is required to have expertise in one of the following techniques: analysis of protein sequence data, protein structure modeling, numerical solution of ordinary differential equations, and machine learning tools. Some experience with modeling biophysical systems will be considered a plus. The candidate is required to know to code in Python/R/C/C++. No previous background in immunology is required, however, the fellow is expected to learn backgrounds pertaining to projects of interest and contribute to discussions with our experimental collaborators. The experience gained at this position is expected to train the fellow to seek career opportunities in academia or industry in the areas of data science/computational biology. Applicants with a PhD degree in Physical Chemistry/Bioinformatics/Computer Science/Biophysics/Computer Science are encouraged to apply.
2. For the second position, we are seeking outstanding candidates who are interested in applying computational/mathematical methods for analyzing high dimensional single cell longitudinal/spatial data and developing models in the areas of immune cell signaling and development, and cancer immunotherapy. The fellow is expected to work closely with our experimental collaborators and analyze single cell mass cytometry(CyTOF) and RNA-seq data, confocal imaging data, and develop data-driven and mechanistic mathematical models. The candidate is required to have expertise in one of the following techniques: statistical inference, spatially resolved stochastic modeling techniques, and evolutionary dynamics. Some experience with modeling biophysical systems will be considered a plus. The candidate is required to know to code in Python/R/C/C++. No previous background in immunology is required, however, the fellow is expected to learn backgrounds pertaining to projects of interest and contribute to discussions with our experimental collaborators. The experience gained at this position is expected to train the fellow to seek career opportunities in academia or industry in the areas of data science/computational biology. Applicants with a Ph.D degree in Physics/Computer Science/Statistics/Chemical/Mechanical/Electrical Engineering/Applied Mathematics are encouraged to apply.
Das lab has access to a state-of-the-art computer cluster over 800 INTEL processors. Resources at the Ohio State University campus and Ohio Supercomputer Center are also available. The position will be initially for one year and can be potentially renewed. Interested candidates should email a brief cover letter stating your interest in our lab, a short CV and names and contact information of three referees to jayajit@gmail.com or das.70@osu.edu .
PhD degree in Physics/Physical Chemistry/Bioinformatics/Computer Science/Chemical Engineering/Statistics/Computer Science
Email jayajit@gmail.com or das.70@osu.edu