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About the Role
Reporting to the Chief Technology Officer, you will help expand and deepen the BHN model and continue to develop the AI-driven platform that builds it. This is a hands-on modeling role at the intersection of computational biology, systems engineering, and applied AI.
Responsibilities
- Extending the depth and breadth of the BHN model, including expansion into additional neurodegenerative diseases.
- Developing and refining ODE-based mechanistic models of biological processes, from equations and level of abstraction through to integrated modules.
- Using the BHN model to analyze target opportunities, support therapeutic development and optimization, and design experiments for the lab and for clinical trials.
- Collaborate with software developers in the AI-driven workflows and tooling that accelerate model development and analysis, including chat and visualization interfaces, to enable modelers and scientists to interact with BHN.
- Creating clear annotations and documentation of model and software architecture and code.
Requirements
- Advanced degree (PhD, or MS with relevant experience) in systems biology, biomedical or chemical engineering, computational biology, applied mathematics, or a related quantitative discipline.
- Open to candidates coming directly from a PhD or postdoc.
- Demonstrated experience developing ODE-based models of complex nonlinear systems.
- Hands-on experience using AI tools to support model development and analysis.
- Strong scientific communication skills and the ability to work across the science–engineering boundary.
- Demonstrated experience developing ODE-based biological models.
- Familiarity with Bayesian inference, management of structural and parametric uncertainty and variability, in complex dynamic models.
- Experience with AI-assisted coding (vibe coding) and skill development for agentic workflows.
- Experience with Mathematica.
- Experience working in a pharma or biotech organization.
- Familiarity with neurodegeneration, aging biology, or brain physiology.
Skills
- Computational biology
- Systems engineering
- Applied AI
- ODE-based mechanistic models
- AI-driven workflows
- Chat interfaces
- Visualization interfaces
- Model architecture
- Software architecture
- Code documentation
- Bayesian inference
- AI-assisted coding
- Agentic workflows
Location
- San Francisco Bay Area
- South San Francisco, CA
Work Type
- Full-time
- Contract-to-hire
- Remote
- Onsite
Experience Level
- PhD
- MS with relevant experience
- Postdoc
Education Level
- PhD
- MS
Salary/Compensations
- Contract rate commensurate with experience
Benefits
- Co-authorship on publications
- Meaningful early-stage equity
About the Company
- Fulcrum Neuroscience is a biotech startup developing new therapeutic approaches to Alzheimer's disease and other neurodegenerative conditions.
- At the heart of Fulcrum's approach is a unique computational platform: the Brain Health and Neurodegeneration (BHN) world model, reconciling over 1,800 literature and data sources, and an underlying AI-enabled, digital twin computational engine.
- This platform enables Fulcrum scientists to explore target and therapeutic alternatives, identify biomarker patterns, and design lab and clinical experiments.
- The BHN model is an explicit, mechanistic, causal representation of brain homeostasis and neurodegeneration — grounded in mass balance, energy flow, and feedback loops, and built to interpret experimental and clinical data rather than merely fit it.
- It functions as a structured, evolving repository of biological knowledge, enabling simulation of disease progression, digital twin inference, and population-level insight.