Research Engineer/Staff Associate

• Position ID #: BIOENG121225NYC
• Location: New York City Metro Area
• Required Education: Master's Degree
• Salary Range: $65,000 - $120,000 (d/o/e)
• Required Experience: Three- Five Years
• Commission Range: N/A
• Other: Benefits
• Required Travel: N/A
• Relocation: N/A
• 
  Description:
  A Research Engineer position is available immediately in a NYC-Area Laboratory for Stem Cells and Tissue Engineering. 
  
  The Client is looking for a highly motivated Research Engineer/Staff Associate skilled in computational modeling and basic laboratory techniques to join a dynamic laboratory team working on multiple tissue engineering projects for improving human health.
  The Staff Associate is expected 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.
  
  The position is located in the New York City Metro area, and can be filled via a hybrid mode (3-4 days in Lab).
  The position has a base salary range of $65,000 - $125,000 (d/o/e), plus benefits.
   
  1) Functional Knowledge and Technical Expertise
  
  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
  
  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.
   
   3) Communication Skills
  
  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.
• 
  Requirements:
  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.
   
   
  Interested and qualified candidates should send resumes to: phoenixhs92@gmail.com