Careers

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Interest in joining CHSI? We are constantly growing and in need in of passionate and talented individuals who are looking to help us tackle the challenges in immunological and quantitative science.

 

 

Open positions at CHSI

Biophysical Immunology Team

Contact: Moses Sekaran

Currently, there are no open positions within the Biophysical Immunology Team. If you are interested in being part of our team, please email your resume and a cover letter to Moses Sekaran for consideration against positions in the future.

Antibody Immune Technology Team

Contact: Kelly Seaton

Currently, there are no open positions within the Biophysical Immunology Team. If you are interested in being part of our team, please email your resume and a cover letter to Kelly Seaton for consideration against positions in the future.

Antibody Immune Technology Team

Contact: Nicole Yates

 

Lab Research Analyst I

Apply at: Duke Careers

Influenza Assay Team

Contact: Sarah Ann Gurley

Currently, there are no open positions within the Influenza Assay Team. If you are interested in being part of our team, please email your resume and a cover letter to Sarah Ann Gurley for consideration against positions in the future.

Biostatistics Team

Contact: Sheetal Sawant

Currently, there are no open positions within the Biostatistics Team. If you are interested in being part of our team, please email your resume and a cover letter to Sheetal Sawant for consideration against positions in the future.

Research Program Development Team

Contact: Sarah Mudrak

Currently, there are no open positions within the Research Program Development Team. 

Research Technician II

Hiring Group: Ferrari Laboratory

Apply:  Job Posting

 

CHSI Division of Innate & Comparative Immunology is not hiring at the moment. Please keep visiting this page for future opportunities. 

POSTDOCTORAL ASSOCIATE

Hiring Group: Center for Human Systems Immunology 

Manager(s): Dr. Cliburn Chan

Apply: Duke External Job Posting

Center of Excellence for Multiscale Immune Systems Modeling (MISM)

The newly established Center of Excellence for Multiscale Immune Systems Modeling (MISM) was founded to develop advanced computational frameworks for understanding infectious and immune-related diseases by integrating research across multiple biological scales. It serves as a national hub for collaborative modeling, training, and infrastructure development. The MISM currently has three postdoctoral associate positions available for individuals interested in developing computational models of the immune system. 

Please see the application links and additional details below:

Postdoctoral Associate

  • Posting: https://careers.duke.edu/job-invite/261183/
  • Core Focus: Develop sophisticated computer models that simulate the spread of viruses (Epstein-Barr Virus and HIV-1) through human immune tissue, incorporating both individual cell behavior and population-level dynamics.
  • Key Responsibilities: Build agent-based models and mathematical equations to predict viral infection patterns using real experimental data from advanced lab-on-chip systems.
  • Technical Requirements: PhD in mathematics or computational biology, with strong programming skills and experience creating both microscopic cellular models and large-scale mathematical equations.
  • Collaborative Nature: Work directly with a team of 6+ researchers across multiple universities, including biologists who conduct experiments and mathematicians who develop theoretical frameworks.

Postdoctoral Associate

  • Posting: https://careers.duke.edu/job-invite/261280/
  • Core Focus: Develop mathematical models that describe how the immune system responds to viral infections, with a focus on understanding the timing and effectiveness of immune reactions.
  • Key Responsibilities: Develop differential equations and run computer simulations to investigate how various factors impact immune responses.
  • Technical Requirements: PhD in mathematics, physics, or engineering with strong skills in mathematical modeling and at least one programming language like Python or MATLAB.
  • Research Integration: Combine experimental data from laboratory studies with mathematical predictions to validate and improve model accuracy, preparing results for scientific publication.

Postdoctoral Associate

  • Posting: https://www.mathjobs.org/jobs/Duke/POSTDOCASSOC
  • Core Focus: Use artificial intelligence and machine learning techniques to automatically discover the mathematical rules governing viral infections by analyzing complex simulation data.
  • Key Responsibilities: Develop specialized neural networks (Physics-Informed and Biologically Informed) that can identify the most important biological mechanisms from massive datasets.
  • Technical Requirements: PhD in applied mathematics, statistics, or machine learning with expertise in deep learning frameworks and experience with differential equations.
  • Innovation Emphasis: Create new AI methods that can translate complex cellular simulations into simpler, interpretable mathematical models that biologists can easily understand and use for predictions