Staff Associate III

The Department of Biomedical Engineering is looking for a Staff Associate III. This position is available in the Laboratory for Stem Cells and Tissue Engineering by Dr. Gordana Vunjak-Novakovic.

We are looking for a highly motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human health. Please see our website for more information: gvnlab.bme.columbia.edu

We expect the Staff Associate III to lead the development and application of advanced computational models to simulate, predict, and optimize novel micro-bioreactors and cell culture protocols. This role will focus on creating sophisticated "digital twins" of our tissue engineering systems by integrating COMSOL multiphysics simulations with machine learning models derived from experimental data.

1) Functional Knowledge and Technical Expertise (50%)

a. COMSOL Modeling: Design, build, and run COMSOL Multiphysics simulations to model key processes within novel micro-bioreactors. This includes accurately modeling fluid dynamics, mass transport (e.g., oxygen, nutrients, metabolites), and other relevant physical parameters influencing the cell culture environment.

b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models will integrate real-time or periodic measurements from various cell culture assays (e.g., metabolic, imaging, 'omics data) to create predictive, digital twins of the bioreactor system.

2) Problem Solving Skills (30%)

a. Model-Driven Optimization: Use simulation and digital twin outputs to analyze process parameters, predict cell behavior, and guide the design of optimized cell culture protocols and next-generation bioreactors.

September 2021

3) Communication Skills (10%)

a. Data Analysis & Reporting: Rigorously analyze and interpret complex simulation data. Prepare detailed reports, technical summaries, and figures for internal meetings, grant applications, and scientific publications.

b. Documentation: Maintain meticulous records of model code, simulation parameters, and validation results, potentially adhering to GLP-like standards for data integrity.

4) Decision Making and Autonomy (10%)

a. This person will be expected to perform experiments, duties, and responsibilities as assigned and requested with minimal oversight.

3-5 year of professional work experience.

Master's degree in Biomedical Engineering, Chemical Engineering, Mechanical Engineering, Computer Science, or a related computational field.

Proven experience with COMSOL Multiphysics (or equivalent FEM software) specifically for modeling fluid dynamics, mass transport, and related physical phenomena

Strong programming skills (e.g., Python, MATLAB) with hands-on experience in building, training, and validating machine learning models for complex systems.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.