Jobs · Finance · Massachusetts

Co-Op, Finance

Lila Sciences · Cambridge, MA · 6 days ago
On-siteFinanceFull-time

What You'll Be Building

  • Ramp quickly on the Finance team's existing tech 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 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 the rollout of successful pilots from prototype to team-wide use

What You'll Need to Succeed

  • Hands-on experience using an LLM API (Anthropic, OpenAI, or similar) 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 July to December term

Bonus Points For

  • 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

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

Lila Sciences combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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