Postdoc: AI/ML Mammalian Bioprocess Modeling

Eli Lilly and Company

Indianapolis (IN)

On-site

USD 74,000 - 101,000

Full time

5 days ago
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Job summary

Lilly is seeking a Postdoctoral Fellow to develop and optimize mammalian cell culture processes using mechanistic and data-driven modeling approaches. You will build genome-scale and hybrid metabolic models to guide feeding strategies and medium design for early to late-stage trials.

The role emphasizes model-guided experiment design, real-time monitoring integration, and machine learning to inform decisions, with a collaborative, cross-functional team environment.

Qualifications

  • PhD in Chemical/Biochemical Engineering, Bioengineering, Systems Biology, Computational Biology, Metabolic Engineering, or related field.
  • Experience with constraint-based or genome-scale metabolic modeling.
  • Hands-on experience in cell culture experiments (Batch, Fed-batch, Intensified Processing).

Responsibilities

  • Develop and calibrate mechanistic and hybrid metabolic models of mammalian cell culture processes.
  • Build computational pipelines turning bioprocess data into model inputs and predicted fluxes.
  • Apply machine learning to predict performance and integrate model features with data.
  • Evaluate feeding strategies and media to enhance productivity.
  • Design and execute cell culture experiments from shake flasks to bench-scale bioreactors.

Skills

Constraint-based modeling
Genome-scale modeling
Python
MATLAB
Machine learning

Education

PhD in Chemical/Biochemical Engineering or related field

Tools

HPLC
UPLC
Mass spectrometry

Job description

Lilly is seeking a Postdoctoral Fellow to develop and optimize mammalian cell culture processes using mechanistic and data-driven modeling approaches. You will build genome-scale and hybrid metabolic models to guide feeding strategies and medium design for early to late-stage trials.

The role emphasizes model-guided experiment design, real-time monitoring integration, and machine learning to inform decisions, with a collaborative, cross-functional team environment.

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