Sr. Software Engineer (Contract-to-Hire)

Fulcrum Neuroscience, Inc.•South San Francisco, CA

12d•Hybrid

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 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. Fulcrum is establishing collaborations with leading research institutions and pharmaceutical organizations, and is a member of the Global Neurodegeneration Proteomics Consortium (GNPC), enabling access to the GNPC data sets. The Fulcrum software platform supports expansion through plug-ins and APIs, enabling integration with a wide range of AI and analysis tools and data sources. Reporting to the Chief Technology Officer, you 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 proven innovators in the development of new modeling methodologies and technology.

Requirements

BS in Computer Science or Engineering, or a related discipline
5+ years developing software in a professional environment
Experience vibe 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 (architecture, workflow, APIs) that supports other team members
Comfortable in a fast-moving startup environment, juggling multiple priorities and flexing to help the team meet evolving deadlines

Nice To Haves

Experience with Mathematica is a plus.
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

Responsibilities

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