Drug development fails at a ~90% rate because fundamental biology fails to translate to humans. 5Prime Sciences is a global leading expert that acts as the computational radar for the pharmaceutical industry, replacing guesswork with definitive genetic evidence to solve this root cause. We develop advanced multi-omics tools—powered by our proprietary Centromere™ platform and PRIMEVault™ — to act as an extension of your R&D team. We bring essential information to our partners by answering four critical questions before major capital is deployed: Does the target truly drive disease? Will modulating it change outcomes? Are there safety risks? Are we selecting the right patients? By validating human biology, we multiply your probability of clinical success up to 4x . Trusted by top-tier pharma with an 80% partner return rate, our evidence-driven approach delivers concrete results: enabling 190M biotech fundraises, halting>100M late-stage trial failures, and de-risking >$600M pharma acquisitions. The best medicines start with the best targets. We provide the evidence to stop weak programs early and the confidence to accelerate the right ones.
As CBO at 5Prime Sciences, I bridge the gap between deep science and corporate strategy. Drawing on my foundation in chemical engineering and a PhD in bioinformatics, I have spent the last five years helping scale 5Prime Sciences into a global leader in genetic target validation.
Driven by our mission to stop massive capital waste and late-stage clinical failures, we build collaborations with partners who want to build stronger drug programs using human genetics and multi-omics evidence.
Association is not causation. The majority of late-stage failures trace back to a target that appeared relevant in preclinical data but never causally drove disease in humans. This is the question human genetics was designed to answer.
A target can cause a disease without having any effect on how it progresses once established. The distinction determines whether an asset belongs in prevention, treatment, or both — and what a Phase II trial actually needs to show.
Animal models miss a significant proportion of adverse events that emerge in human trials. Genetic variants that naturally alter target activity offer a different read — one that reflects what target perturbation does across a human population.
The same mechanism can produce a clear signal in one patient population and a null result in another. Genetic stratification identifies where the biology is strongest — and whether the same mechanism extends to populations not yet in scope.