About the job
ABOUT MITHRL
At Mithrl, we envision a future where innovative medicines are delivered to patients in mere months rather than years, and scientific advancements occur at unparalleled speed.
Mithrl is pioneering the development of the world’s first commercially available AI Co-Scientist, a revolutionary discovery engine that swiftly converts complex biological data into actionable insights. Scientists can pose questions in natural language, and Mithrl will provide comprehensive analyses, propose novel targets, formulate hypotheses, and generate patent-ready reports—all in minutes.
Our success is evident:
Achieved 12X year-over-year revenue growth
Recognized by leading biotech firms and major pharmaceutical companies across three continents
Facilitating real breakthroughs from target identification to improved patient outcomes.
ABOUT THE ROLE
We are seeking a talented ML Engineer for our Discovery Applications team to create high-level, end-to-end scientific workflows that enhance decision-making within the Mithrl platform. This position focuses on developing the application layer that interacts with our AI Co-Scientist. You will play a crucial role in how scientists uncover biomarkers, validate targets, design experiments, and initiate early discovery programs that lead to IND-enabling studies.
A strong understanding of the discovery and preclinical development cycle is essential for this role. You will need to comprehend how research teams transition from early target hypotheses to creating biomarker strategies, hit identification, lead optimization, and preclinical validation. Your applications will directly support decision-making across this continuum and will be utilized by scientists and program teams.
Your responsibilities will include designing multi-step workflows that integrate analysis modules, ML models, domain-specific logic, and agentic reasoning into cohesive applications. These applications will encompass biomarker discovery, target identification, target validation, small molecule hit identification and optimization, as well as gene therapy workflows. Furthermore, you will adapt applications to incorporate new data modalities as our platform evolves.