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About the Role

Support the development of AI-driven tools to enable the development and enhancement of biological models, digital populations, digital twins, and model-enabled research. This is a hands-on role, working closely with innovators in developing new modeling methodologies and technology.

Responsibilities

• Develop AI-driven tools and skills including chat-based interactions, agentic workflows, and MCP-based integrations for model development and analysis, and model-based drug discovery and development.
• Build AI-enabled visualizations, dashboards, and automated parametric search tools supporting complex workflows, including iterative goal-seeking tasks that can operate autonomously or with human-in-the-loop.
• Build tools to support the integration and analysis of external literature and data into the modeling platform.
• Work from concepts and prototypes to build scalable, extensible software solutions.
• Capture requirements from technical discussions and produce clear documentation, including commented code, architecture and workflow descriptions, and API documentation.

Requirements

• BS in Computer Science or Engineering, or a related discipline.
• 5+ years developing software in a professional environment.
• Experience coding with one or more frontier models.
• Proficient in Python, JSON, and interfacing with API-driven platforms.
• Demonstrated skill in well-designed, well-documented code, with documentation that supports other team members.
• Comfortable in a fast-moving startup environment, juggling multiple priorities and flexing to help the team meet evolving deadlines.
• Experience developing scientific, modeling, and/or analytical software.
• Experience developing AI skills for agentic workflows.
• Experience developing software that integrates with LLMs, including LLM APIs, RAG, and MCP.
• Experience using open-weight (local) LLM models.
• Familiarity with Bayesian statistics and simulation of systems of non-linear differential equations.

Skills

• Python
• JSON
• API-driven platforms
• Mathematica
• AI-driven tools
• Chat-based interactions
• Agentic workflows
• MCP-based integrations
• AI-enabled visualizations
• Dashboards
• Automated parametric search tools
• LLMs
• LLM APIs
• RAG
• MCP
• Open-weight LLM models
• Bayesian statistics
• Simulation of systems of non-linear differential equations

Location

• South San Francisco, CA
• Remote

Work Type

• Full-time
• Contract-to-hire

Experience Level

• 5+ years

Education Level

• BS in Computer Science or Engineering, or a related discipline

Salary/Compensations

• Contract rate commensurate with experience

Benefits

• 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.
• Utilizes a unique computational platform: the Brain Health and Neurodegeneration world model, reconciling over 1,800 literature and data sources, and an underlying AI-enabled, digital twin computational engine.
• Platform enables scientists to explore target and therapeutic alternatives, identify biomarker patterns, and design lab and clinical experiments.
• Establishing collaborations with leading research institutions and pharmaceutical organizations.
• Member of the Global Neurodegeneration Proteomics Consortium (GNPC), enabling access to GNPC data sets.
• Software platform supports expansion through plug-ins and APIs, enabling integration with a wide range of AI and analysis tools and data sources.