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Insitro

ML-driven predictive drug discovery and development

Vice President - FP&A & Financial Transformation

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA

About the Job

Requirements

  • At least 12 years of FP&A or finance experience in biotech or life sciences, including ownership of a full planning cycle end to end.
  • A bachelor's degree in Business, Finance, Accounting, or a related field.
  • A track record of building an FP&A function, including standing up a planning system, moving to a rolling forecast, and automating reporting.
  • Experience presenting at the Board and Audit Committee level, plus public-company experience with SEC reporting cycles and guidance-setting.
  • IPO preparation experience and a working understanding of public-company planning and reporting discipline.
  • Clinical development finance experience, including trial cost modeling, CRO/vendor management, and accruals, plus working knowledge of R&D accounting judgments that shape the forecast, such as ASC 730 and ASC 808.
  • Hands-on experience with an enterprise planning platform; strong knowledge of Oracle Cloud ERP/EPM or equivalent; and strong modeling and presentation skills in Excel, think-cell, and Google Workspace.
  • A track record of scaling AI/LLM-enabled capability across a finance team beyond personal use.
  • Experience leading finance teams, including managing senior individual contributors.

Responsibilities

  • Run the planning calendar end to end, covering the annual operating plan, quarterly reforecasts, and the long-range plan.
  • Lead the shift from a bi-annual budget to a rolling quarterly forecast.
  • Build the annual budget across Research, Platform and Compute, Clinical Development, lab operations, and G&A.
  • Make scenario planning a standing capability that quantifies the budget impact of decisions before commitments are made.
  • Own the finance systems roadmap for planning and analysis, including Oracle Cloud ERP configuration and use across finance, integration of LLM-based tools, and potential onboarding of an FP&A solution.
  • Use LLM-based tools directly and turn effective individual practices into durable team-wide capability.
  • Automate management packages, scorecards, and variance reports, and work with IT and Accounting to integrate Oracle, the data warehouse, and AI tooling into one architecture.
  • Provide cost center managers and project leads with dashboards and data access for independent decision-making.
  • Translate Research, Platform, and clinical plans into cost, headcount, and timeline models, covering trial costs, CRO/CMO spend, cloud and GPU commitments, and build-versus-buy decisions.
  • Bring program-level cost visibility into portfolio decisions, including insitro Decision Boards, and partner with People on requisition sequencing and headcount governance.
  • Co-own the data model, chart of accounts governance, controls alignment, and close-cycle responsibilities with Accounting leadership.
  • Lead and grow the FP&A team and advise the CFO on finance organization design and future hiring.
  • Own Executive Team and Board financial materials, and present budget, forecast, and variance drivers to the Board and Audit Committee.
  • Partner with Investor Relations, Corporate Strategic Finance, and Corporate Development to align the operating plan, guidance, capital allocation, and deal modeling.

Desired Qualifications

  • An MBA, CFA, CPA, or consulting background.

About the Company

Insitro

ML-driven predictive drug discovery and development

Insitro integrates machine learning with biology to speed up drug discovery and development. It builds predictive models from large-scale data to forecast which targets, molecules, or paths are most likely to succeed and prioritizes experiments accordingly. Unlike firms that rely on either biology or ML alone, it combines data generation and modeling in an integrated workflow with scientists and engineers collaborating on drug candidates. Its goal is to shorten development timelines and reduce costly failures by delivering data-driven insights and co-developing medicines with pharma partners.

Company size
201-500
Company stage
Series C
Total funding
$643M
Headquarters
San Francisco, CA
Founded
2018

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