Research Associate at MEDRA INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Wet-lab experimentation, Scientific method, Robotics, Laboratory instrumentation, Troubleshooting, Data analysis, Experimental design, Protocol development, Scientific communication, Collaboration, Quality control, Biological sciences, Physical AI, Assay development

Industry

Software Development

Description

What We're Building At Medra, our mission is to use AI, robotics, and biology to accelerate life science research, with the ultimate goal of eradicating disease. 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. This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things. About the Role As a Research Associate on our forward-deployed team, you will work across customer deployments to help them achieve their scientific objectives with Medra’s Physical AI. You will embed yourself at the customer, acting as a true partner on their team to ensure that the Medra platform is achieving scientific outcomes and driving value for the organization. You will apply the scientific method (hypothesis, design, experimentation, analysis) to test and validate the fidelity of our Physical AI Scientist platform for their workflows. You will be in close communication with our end users (scientists) and have your eyes and ears on the ground to help us get ahead of any issues, while taking insights and learnings from the customer back to the company to guide improvements to our product. Internally, you will partner closely with our forward-deployed engineers (FDEs) to drive a successful deployment. You will become a platform super-user who understands the strengths and limitations of our platform, and can apply creativity and scientific intuition to solve challenging problems. We're looking for someone who enjoys the scientific process, thrives on solving problems, and gets excited by working across multiple diverse scientific projects. The right candidate acts with urgency and thrives under pressure. Key Responsibilities Design & execute wet-lab experiments to validate Medra's autonomous Physical AI against scientific KPIs/metrics Deploy on-site to our customer's labs — embed with their scientists to validate the science, conduct hands-on training on the robot & instruments, and provide ongoing support as they ramp up usage Own the installation, QC, and troubleshooting/error-handling for all laboratory instruments on the Physical AI platform Support internal R&D on new protocols and assays, and explore emerging technologies & techniques Keep detailed experimental records and documentation (SOPs) for all workflows Communicate results clearly, succinctly, and on-time What You Bring to the Team B.S. or B.A. from a top university in Biological Sciences or a related field 3+ years of research experience, including hands-on wet-lab work Experience in undergraduate research programs Has published in scientific journals or presented at conferences Excellent interpersonal skills and a demonstrated ability to collaborate effectively within a team Innate curiosity about science and technology This position is 100% in-person; you must be able to come on-site to our San Francisco office. We offer relocation benefits for applicants who need to relocate. Travel is required, up to 25–50%. What We Offer An opportunity to change the way that scientific research happens Fast-paced, creative, and collaborative work environment Significant equity ownership 401k Medical and dental insurance Unlimited PTO Weekday dinners

Responsibilities

The Research Associate will design and execute wet-lab experiments to validate autonomous Physical AI platforms while providing on-site support and training to customers. They will also manage instrument installation, troubleshooting, and internal R&D efforts to improve platform performance.