Valo Health

You'll lead **wet-lab target validation** and assay development for neurodegenerative disease targets using Valo's **Opal Computational Platform**. Your work will build confidence in translating human data insights into new therapies for Parkinson's disease.

You'll develop and deploy graph ML solutions to synthesize novel insights from Valo's data, driving compute-enabled biological hypothesis generation. You'll collaborate with data scientists and biologists to contextualize drug targets within patient subpopulations, and help build Valo's integrated graph platform.

You'll own the **product roadmap for Target ID software** at a **human-centric AI-enabled biotech** company. Your work will directly **accelerate drug discovery** by translating biological use cases into technical specifications. This hybrid role offers the chance to shape platform capabilities used daily by scientists.

You'll lead the development of **machine learning methods** on real-world patient data to advance drug discovery. Your core impact is generating patient profiles and clinical insights from high-dimensional data like EHRs and multi-omics. This role offers the chance to work with a diverse team in an innovative startup environment.