Modeling Engineer/Scientist (Contract-to-Hire)
About The Position
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. 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 — a bridge between the science and the engineering.
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.
Nice To Haves
- 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.
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.
Benefits
- Co-authorship on publications emerging from your contributions.
- Meaningful early-stage equity and contract rate commensurate with experience.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
