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Mirendil

AI-driven discovery engine for biology

Member of Technical Staff - Company Building

Business OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Master of Science or PhD in Computer Science, Electrical Engineering, physics, math, or another STEM field, plus a few years in industry as an engineer, scientist, or researcher.
  • Ability to read a paper and credibly participate in a machine learning systems discussion with frontier researchers.
  • Exceptional written and verbal communication skills to distill technical depth and ambiguity into clear decisions and narratives for investors, partners, and customers.
  • Ability to apply analytical rigor to open-ended business problems, prioritize, and execute quickly.
  • High energy and endurance for an intense role involving long hours.
  • Bias toward action, resourcefulness, and willingness to handle varied tasks.

Responsibilities

  • Drive founders' highest-priority initiatives and provide day-to-day operational support, including preparing for partner and investor conversations, coordinating priorities, and turning decisions into execution.
  • Keep founders on track and ensure their commitments are completed.
  • Take the company's first customers from zero to one, shape positioning, land early design partners, and run pilots end-to-end; then work with Business and Operations to scale these motions.
  • Own the company operating rhythm by building and running planning cycles, goal tracking, internal key performance indicators, internal communications, and cross-team execution systems.
  • Ensure decisions are made, tracked, and followed through across the team.
  • Take on high-priority, under-owned work such as partnership negotiations, launches, and market or technical landscape analyses.

Desired Qualifications

  • Experience driving a cross-functional initiative, handling the customer-facing side of a technical project, starting a venture, or taking on unsolicited strategy work.

About the Company

Mirendil

AI-driven discovery engine for biology

Mirendil develops AI models to accelerate breakthroughs in biology and materials science. Its AI discovery engine simulates molecular interactions and explores chemical space to speed up drug and material discovery, potentially integrating with robotic wet labs. Distinguishing factors include its neo-lab model, focusing on niche, science-driven applications rather than general-purpose AI, and a team of researchers from Anthropic and other AI labs with experience in scientific reasoning. The company’s goal is to shorten the time and reduce the cost of research and development by acting as a scientific co-pilot that guides experiments and simulations toward promising discoveries.

Company size
11-50
Company stage
Series A
Total funding
$1.2B
Headquarters
San Francisco, CA
Founded
2026

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