---
title: 'Recruiting Coordinator at Medra'
canonical: 'https://feeny.ai/job/recruiting-coordinator-medra-san-francisco-n0m7rv3ttdgn'
type: 'job'
last_seen: '2026-10-13'
---

# Recruiting Coordinator at Medra

- **Company:** Medra
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/medraai/7095cccf-4e5a-459b-a922-9fee8136fc71

## Job description

What We're Building: We have been quietly building the foundational layers of our Physical AI Scientist platform:

🤖 Physical AI that can operate scientific instruments with human-level dexterity. 🧪 Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.

The Team: We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting! As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other. Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically.

In this role, you will:

- Own end-to-end interview scheduling and coordination for all roles and stages, expertly managing complex calendars, resolving conflicts, and ensuring every slot runs on time
- Greet and manage all candidate walk-ins with warmth and professionalism, handling on-site logistics and delivering an outstanding first impression
- Serve as our Ashby power user, deeply optimizing pipelines, workflows, reporting, automations, and data integrity so the team can hire faster
- Fluently leverage AI tools every day to automate repetitive tasks, improve candidate communications, enhance sourcing/screening support, and generate actionable insights
- Maintain a healthy, accurate hiring pipeline and proactively surface issues or opportunities to keep requisitions on track
- Partner closely with recruiters and hiring managers to deliver a seamless, high-quality candidate experience from first contact through offer

What you bring:

- 2–4 years of direct experience as a Recruiting Coordinator (previous RC experience is required, we’re targeting someone who has already done this role successfully)
- Deep, hands-on mastery of Ashby
- Strong AI fluency and real enthusiasm for using modern AI tools to make recruiting faster, smarter, and more scalable
- Proven comfort with in-person work and high-volume candidate walk-ins. You’re confident, organized, and genuinely enjoy being the face of the recruiting process
- Exceptional organizational skills, attention to detail, and the ability to juggle multiple calendars and priorities without dropping a ball
- Warm, professional communication style and a proactive, solutions-oriented mindset that keeps the entire team moving

We’re looking for someone who has already been a Recruiting Coordinator and is ready to level up our operations in a dynamic, on-site environment. If you love owning the details, making processes better every day, and playing a key role in building great teams, we’d love to meet you.

## About Medra

## Company Overview
- **One-liner**: Building autonomous Physical AI for the lab to accelerate scientific discovery by executing and optimizing experiments in a closed loop.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (340 Pine Street, Suite 100)
- **Founded**: 2021 (some sources cite 2022 – conflicting reports)
- **Founders**: Michelle Lee (CEO)

## Core Business
- **Primary industries**: Life sciences automation, laboratory robotics, AI-driven experimental design
- **Target customers**: B2B – biopharma companies, academic research labs, government agencies (e.g., DARPA)
- **Mission / purpose**: Unlock breakthroughs at scale by tightly integrating AI scientific reasoning with physical experimentation.

## Products & Services
- **Physical AI Lab (Medra Lab 001 – ML001)**: A fully autonomous robotic workcell that executes wet-lab protocols (e.g., CRISPR, cell culture, NGS) using computer vision and robotic manipulation. Instrument-agnostic and modular.
- **AI Experimentalist**: The scientific reasoning layer that translates natural-language research goals into executable experiment plans, coordinates multi-step protocols, analyzes results, and refines methods in a closed loop.
- **Platform Type**: Physical AI + Scientific AI as a service (on-site deployment or remote operation via ML001).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of $63M (Series A of $52M closed December 2025, preceded by $11M pre-seed in October 2025 and a non-equity assistance from PharmStars in 2023)
- **Notable Investors / Partners**: Human Capital (lead), Lux Capital, Menlo Ventures, Catalio Capital, Neo, 776 (Seven Seven Six), Fusion Fund, Nat Friedman & Daniel Gross
- **Growth Signals**:
  - Headcount grew 100% YoY (31 employees as of mid-2026)
  - Launched ML001 in San Francisco (April 2026) — largest autonomous lab in the U.S.
  - Announced DARPA collaboration (June 2026) to advance natural-language-to-executable-experiment capabilities
  - 8 open positions across biology, engineering, design, and operations

## Competitive Advantages
- **Closed-loop integration**: Combines physical execution with AI-driven experimental design and learning – not just robotic task automation.
- **Instrument-agnostic & modular**: Works with both manual and automated lab instruments, allowing easy swapping of modules and protocols.
- **Natural-language programming**: Scientists can edit protocols in plain English (written or voice).
- **Scalable data generation**: Logs every action, video, and metadata per sample for traceability and model training.

## Strategic Focus
- Expand partnerships with biopharma, academia, and government (DARPA is a key early customer).
- Advance the AI Experimentalist layer to enable full autonomous hypothesis generation and validation.
- Scale deployments of Physical AI Labs on-site and remotely through ML001.

## Why Work Here
- **Culture**: Described as “intense curiosity and rigorous debate” with clear, direct communication and quick resolution of conflicts through mutual respect.
- **Team**: Community of diverse thinkers, “not just a company but a movement to transform biotechnology.”
- **Work policy**: Likely on-site at the San Francisco lab given the nature of physical robotics; no explicit remote/hybrid policy mentioned.
- **Perks & highlights**: Opportunity to work on cutting-edge AI + robotics with a high-impact mission; funded by top-tier VCs; strong engineering culture (43% technical staff, many from Neuralink, Applied Intuition, Amazon, Carnegie Mellon).

## Sources
1. [medra.ai](https://www.medra.ai/)
2. [medra.ai/careers](https://www.medra.ai/careers)
3. [linkedin.com/company/medra-ai](https://www.linkedin.com/company/medra-ai)
4. [cbinsights.com/company/medra](https://www.cbinsights.com/company/medra)
5. [medra.ai/darpa-collaboration](https://www.medra.ai/darpa-collaboration)
6. [jobs.ashbyhq.com/medraai](https://jobs.ashbyhq.com/medraai)

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