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Edison Scientific is seeking its first dedicated finance hire to build and own the company's complete financial operating system. Reporting to the Head of Operations, you will be responsible for all aspects of financial management as the company scales with real revenue, complex pharma and biotech partnerships, and evolving product offerings.
Key responsibilities include: owning the general ledger and financial records; building and maintaining financial models, cash forecasts, and runway projections; tracking and reporting spend by team, vendor, and program; managing revenue recognition, invoicing, and collections for pharma and biotech contracts; overseeing the finance technology stack (ERP, billing, procurement, expense management); partnering on payroll, benefits, and equity administration; supporting headcount planning and budgeting across functions; modeling major commitments such as compute and data acquisition costs; advising on commercial deal structure, pricing, and margins; and preparing board and investor reporting.
This is a hybrid strategic and operational role requiring someone comfortable with both big-picture financial planning and hands-on execution. You will work in a fast-paced, dynamic environment where you define processes and own their day-to-day delivery. The ideal candidate has startup experience, strong executive presence, is opinionated and unafraid to share recommendations, and actively uses AI tools to create leverage in daily work.
Edison Scientific builds AI scientist agents to accelerate scientific research and drug development. The company is run by scientists and engineers from leading institutions and is experiencing rapid growth.
REQUIREMENTS:
- 4–7 years of experience in operations, finance, consulting, or similar business-side role
- Strong analytical and financial modeling skills
- Executive-level communication abilities
- Comfort working in ambiguity, context-switching, and high-intensity environments
- Active use of AI tools to automate tasks, optimize workflows, and direct agents
- Strong interest in AI for science
PREFERRED:
- Experience in high-growth startups or early-stage companies
- Background in pharma and/or life sciences
