Postdoctoral Fellow 2025: AI-Informed Bioengineered Models for Predicting Human Response to mRNA Nanomedicines and Vaccines

What you'll do

• Design and develop micro-physiological models and methods to collect and analyze model readouts.
• Analyze omics readouts and contribute to applying AI tools to establish human-predictive capabilities.
• Drive the research project, publish scientific papers, and present at scientific meetings.

What they ask for

• PhD in Bioengineering, Chemical Engineering, or a related quantitative field, specializing in biomaterials/tissue engineering; PhD completion requirements must be finalized before the start date.
• Maximum of 4 years of prior postdoctoral research experience and minimum of 4 years developing and characterizing cell/biomaterial-based micro-physiological or microfluidic in vitro models.
• Expertise in 2D and 3D cell culture/cell reprogramming, primary cell types, bio-analysis techniques, and biomaterial-based tissue-engineering scaffolds.
• Proficiency in Python or a comparable language, data handling and visualization, statistical analysis, and at least 1 first/co-first author publication.

Nice to have

• Knowledge of immunobiology and experience with immune phenotyping using omics approaches.
• Hands-on AI/ML experience, including high-dimensional data analytics and data modeling.

Pay

US$99,900 up to Max of US$107,500 (base salary)

Tools

Python, Flow Cytometry, Confocal Microscopy, PCR, multiplex ELISA, AI/ML

AI focus

Apply AI tools and advanced data analytics to omics and model readouts to establish human-predictive capabilities; developing AI tools is optional.