AI-Driven Modeling Engineer for Neurodegenerative Systems

Go Fractional

South San Francisco (CA)

Remote

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Equity opportunity
Contract-to-Hire
Remote-friendly

Job summary

Go Fractional is seeking a highly skilled modeling-focused professional to expand an AI-driven BHN platform. You will work at the intersection of computational biology and systems engineering, blending scientific modeling with engineering implementation.

The role emphasizes hands-on development of mechanistic ODE models, collaboration with software engineers, and the creation of clear model documentation. Flexible location with travel to South San Francisco as needed.

Qualifications

  • Advanced degree in systems biology, biomedical/chemical engineering, computational biology, or related quantitative field.
  • Experience developing ODE-based models of complex nonlinear systems.
  • Hands-on experience using AI tools to support model development and analysis.
  • Strong scientific communication across the science–engineering boundary.

Responsibilities

  • Extend depth and breadth of the BHN model, including expansion into additional neurodegenerative diseases.
  • Develop and refine ODE-based mechanistic models of biological processes.
  • Use the BHN model to analyze target opportunities and support therapeutic development and experiments.
  • Collaborate with software developers in AI-driven workflows and tooling to accelerate model development and analysis.
  • Create clear annotations and documentation of model and software architecture and code.

Skills

ODE-based modeling
AI tools usage
Scientific communication
Cross-disciplinary collaboration

Education

PhD or MS with relevant experience

Tools

Mathematica

Job description

Go Fractional is seeking a highly skilled modeling-focused professional to expand an AI-driven BHN platform. You will work at the intersection of computational biology and systems engineering, blending scientific modeling with engineering implementation.

The role emphasizes hands-on development of mechanistic ODE models, collaboration with software engineers, and the creation of clear model documentation. Flexible location with travel to South San Francisco as needed.

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