We merge data science with computational chemistry and biology, bioinformatics, cheminformatics, and software engineering. Our experience spans biotech and pharmaceutical collaborations, either as a close partner or as an independent analysis provider.
Flexible, custom-tailored engagements, built around your project and your team.
MatGen collaborates either on a per-project basis or by embedding computational experts directly into client teams, full-time or part-time, to run analyses, develop pipelines, and fit into workflows that already exist.
Our team brings together experienced data scientists, computational biologists and chemists, and software engineers. We match that expertise to your project. The people proposed for the work are named before anything is signed.
Our approach is grounded in rigorous data modeling and stated assumptions, producing results that hold up when someone reruns them. Below we set out the stages of discovery and development where that work lands.
Most biopharma teams work across several stages of drug development at once. We cover the computational side of all of them, as outlined below:
A great deal of current work is deep learning and “AI”. We do both, and we are equally willing not to. A twelve-sample dose–response study needs a hierarchical model and a realistic confidence interval; a screen across a million compounds is where a transformer earns its place.
The method therefore follows the data: how much of it there is, how it was collected, what is being asked, and what the consequences are if the answer is wrong. Where a simple model and a complex one perform the same, we use the simple one. Equal performance on the data you have is not equal performance on the data you do not, and the extra parameters are usually fitting noise.
The same applies to infrastructure. Reproducibility is what keeps an analysis meaningful long after it was first run, so we build it in from the start rather than adding it afterwards. See what that has looked like on real projects.
Whether you need embedded computational expertise, a scoped analytical project, or custom software built around your workflows, the first step is the same. Navigate here to learn how the engagement process with MatGen works.