Computational Biologist, Cellularization

Who You Are

• Develop mathematical models of cellular processes in the lung (e.g., cell division, migration, adhesion) modulated by mechanical and chemical environments; analyze experimental data from 3D-printed scaffold cellularization.
• Establish iterative experimental design cycles based on hypotheses generated by mathematical models to develop new cellularization approaches.
• Implement model qualification procedures to evaluate uncertainty/variability impacts on model outputs and experimental design.
• Collaborate with computational biologists and engineers to integrate cell-based models into large multiscale models (organ to molecular level).
• Partner with internal/external labs to define experimental needs and coordinate experimental data generation for model training/validation.
• Communicate results via interactive visualizations, presentations, and peer-reviewed journal publications.
• Perform other duties as assigned.

• Master’s in biomedical engineering, computational biology, applied mathematics, or related field + 6+ years industry experience developing computational models; OR PhD + 2+ years industry experience (postdoctoral experience at a pharma/biotech acceptable).
• Expertise in cell-level modeling frameworks (e.g., agent-based models, cellular Potts).
• Numerical methods for modeling/simulation (ODE/PDE solving, optimization, Monte Carlo).
• Fluency in scientific programming languages (Python, R, Julia, etc.).
• Experience with cell-based modeling/simulation software (Morpheus, CompuCell3D).
• Knowledge of molecular/cellular biology and drug development.
• Ability to communicate effectively to technical and non-technical audiences.

• PhD.
• Familiarity with quantitative systems pharmacology.
• Statistical and machine learning skills.
• Knowledge of pulmonary physiology.