Job Description
About the Role:
Design and implement sophisticated models—including data-driven (ML/AI), mechanistic (, ODE-based), and hybrid approaches—to predict and optimize the performance of biologics and vector manufacturing processes.Develop models that predict functional outcomes such as transgene expressibility, protein stability, and product quality attributes from nucleic acid and amino acid sequence featuresDevelop new models to predict developability attributes such as expressibility, secretability, aggregation, and stability of biologics, from sequence.Create multi-scale models of cellular behavior, integrating omics data (RNA-seq, proteomics, etc.) to simulate gene expression, protein secretion dynamics, metabolism, and cell phenotype.Work in close collaboration with bench scientists to guide rational experimental design, using techniques like Bayesian Optimization to ensure that data generation is maximally informative for mo...
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