Job Details

Overview: Olio Labs is on a mission to make every human healthier. We are a small, high-performance team built on technical excellence, trust, and relentless curiosity. Were seeking a new team member interested in growth, leadership, and organization to oversee research operations at our South San Francisco location.

Key Responsibilities:

• Design, plan, and execute high-throughput in vivo rodent studies, ensuring rigorous adherence to protocols.
• Visualize, interpret, and communicate experimental findings through clear plots, statistical analyses, and written reports.
• Lead and mentor a team of laboratory technicians and in vivo researchers, coordinating workflows and maintaining quality standards.
• Develop and optimize dissolution protocolsadjusting solvent systems, pH, and excipientsto achieve consistent, reproducible drug solubility.

Job Requirements:

Must-have Qualifications:

• Proven expertise in designing, executing, and analyzing controlled experiments.
• Solid working knowledge of Python, including scripting for data cleaning, plotting, and basic analyses.
• Minimum one year of hands-on rodent handling and in vivo study experience.
• Proficient in preparing laboratory solutions.
• Demonstrated leadership in managing projects or teams, with strong mentoring and organizational skills.
• Exceptional analytical thinking with a track record of mastering new techniques and troubleshooting complex challenges.
• Detail-oriented and self-motivated, proactively addressing potential errors to ensure experimental integrity.

Preferred Qualifications:

• Experience formulating chemical compounds, creating standardized stock solutions, dosing preparations, and quality-controlled drug dilutions for in vivo and in vitro studies.
• Experience building experimental systems (rigs, Arduinos, camera setups, automation) from scratch.

How to Apply:

Please send your resume to ...@oliolabs.co.

Olio Labs is pioneering a next-generation approach to drug discovery, creating therapies that achieve better outcomes for more patients. Our AI-driven platform designs combination therapies that target multiple biological pathways, enabling tailored treatments for diverse patient populations. Our integrated compute-experiment system has produced combination therapies outperforming monotherapies in preclinical models.