Co-Op, Finance

Lila Sciences • Cambridge, MA

10d

About The Position

Lila Sciences Finance is embedding AI across Strategic Finance, FP&A, Procurement, and Accounting. This co-op will help move the team from informal experimentation to practical tools that are used in its workflows. The role works across the Finance organization to identify high-impact AI use cases, prototype tools against internal data, and assess the time and accuracy gains they produce. The co-op will partner with finance stakeholders, learn the existing finance technology stack, build proof-of-concept tools with LLM APIs, and help document successful approaches so the broader Finance team can adopt them. The tools developed may be put into use immediately.

Lila Sciences is building Scientific Superintelligence™ to address major challenges through AI-enabled scientific discovery. It combines advanced AI models with proprietary AI Science Factory™ instruments to create systems that can autonomously execute the scientific method across medicine, materials, and energy. The company highlights truth, trust, curiosity, grit, and velocity as its core values and describes its environment as moving with startup speed.

Requirements

• Hands-on experience using an LLM API, such as Anthropic or OpenAI, to build something beyond chat.
• Finance or business coursework sufficient to partner credibly with FP&A, Procurement, and Accounting stakeholders.
• Comfort ramping quickly on unfamiliar business software and integrating against it.
• Strong written communication.
• Ability to scope ambiguous problems into shippable prototypes.
• Currently pursuing an undergraduate or master's degree.
• Available for the full January to June term.

Nice To Haves

• Exposure to forecasting, variance analysis, or financial reporting workflows.
• Prior hands-on use of ERP, FP&A, expense, or procurement platforms.
• Experience working with internal datasets or data pipelines.
• Familiarity with evaluating and measuring AI tool impact.

Responsibilities

• Ramp quickly on the Finance team's existing technology stack across ERP, FP&A, expense, and procurement systems.
• Partner with FP&A, Procurement, Accounting, and Strategic Finance to identify high-value AI use cases.
• Prototype tools using LLM APIs against Finance workflows and internal data sources from existing systems.
• Measure the time savings, accuracy gains, and adoption impact of each prototype.
• Scope ambiguous problems into shippable proof-of-concept tools.
• Document what works and capture best practices for broader Finance team adoption.
• Support rollout of successful pilots from prototype to team-wide use.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed