Bayesian Statistics Engineer Jobs

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2d ago

Sr. Software Engineer (Contract-to-Hire)

Fulcrum Neuroscience, Inc. Remote 🌍 Remote

Remote

2d ago

Contract Python Senior Ai Ml

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Job Description

Fulcrum Neuroscience is hiring a hands-on Sr. Software Engineer (Contract-to-Hire) to build AI-driven tools and data integrations for biological modeling and model-enabled research.

Responsibilities

Develop AI-driven tools and skills, including chat-based interactions and agentic workflows
Implement MCP-based integrations to support model development and analysis, including model-based drug discovery and development
Build AI-enabled visualizations, dashboards, and automated parametric search tools for complex, iterative goal-seeking tasks
Enable goal-seeking tasks to run autonomously or with human-in-the-loop operation
Create tools that integrate and analyze external literature and data inside the modeling platform
Turn concepts and prototypes into scalable and 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 related discipline)
5+ years developing software in a professional environment
Experience with “vibe coding” with one or more frontier models
Proficiency in Python and JSON, plus interfacing with API-driven platforms
Mathematica experience is a plus
Proven ability to deliver well-designed, well-documented code, including documentation that supports other team members (architecture, workflow, APIs)
Comfort working in a fast-moving startup, managing multiple priorities and adapting to evolving deadlines

Highly Desired Qualifications

Experience building scientific, modeling, and/or analytical software
Experience developing AI skills for agentic workflows
Experience integrating software with LLMs, including LLM APIs, RAG, and MCP
Hands-on experience with open-weight (local) LLM models
Familiarity with Bayesian statistics and simulation of systems of non-linear differential equations

Technologies

Python
JSON
API-driven platforms
Mathematica
MCP
LLMs, LLM APIs
RAG
Open-weight (local) LLM models
Bayesian statistics

Work Setting and Location

Ideal candidate is in the San Francisco Bay Area and can work at the office in South San Francisco, CA one day per week
Remote candidates will be considered with willingness to periodically travel to South San Francisco

Employment Details

Job type: contract
Contract-to-hire: intended as a path to full-time employment
Reporting line: Chief Technology Officer

Compensation and Equity

Meaningful early-stage equity
Contract rate commensurate with experience

Project Impact

Build modeling tools that enable model-based research of Alzheimer’s and related disease
Work at an early-stage company focused on these research capabilities

Education

BS in Computer Science or Engineering (or related discipline)

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