Postdoctoral Fellow - AI/ML Upstream Cell Culture Modeling & Process Development
US: Indianapolis IN Tech Center North, United States
R
USD 58K-123K Entry-level Full Time
Tasks
- Apply machine learning for performance prediction
- Build computational pipelines for model inputs
- Calibrate hybrid metabolic models
- Calibrate models with multi omics data
- Communicate results via technical reports presentations and publications
- Design cell culture experiments
- Develop mechanistic models of mammalian cell culture
- Evaluate feeding strategies
- Evaluate medium compositions
- Execute cell culture experiments
- Generate datasets for model development
- Identify performance limiting factors
- Integrate features into machine learning workflows
- Integrate model features with experimental data
- Integrate process data into models
- Maintain technical documentation
- Predict cellular behavior
- Predict metabolic flux distributions
- Support predictive clone selection
- Use AI assisted approaches for model reuse
- Validate model predictions experimentally
Perks/Benefits
Skills/Tech-stack
Batch Process | Bioprocess Modeling | Bioreactor | CHO Cell Physiology | Cell physiology | Constraint-based modeling | Data-Driven Modeling | Data-driven | Dynamic optimization | Fed-batch | Flux analysis | Genome-scale metabolic modeling | HPLC | Hybrid Metabolic Models | MATLAB | Machine Learning | Mass Spectrometry | Mathematical Modeling | Mechanistic modeling | Metabolic Modeling | Metabolic flux analysis | Model Predictive | Model-Predictive Control | Multi-Omics | Predictive control | Python | Reaction kinetics | Real Time | Real-time monitoring | UPLC
Education
Roles
Fellow | Postdoctoral Fellow | Postdoctoral Scientist | Scientist
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