Computational drug discovery partner

Your remote computational department.

MatGen puts computational biologists, chemists and software engineers inside biotech and pharma teams — and builds the pipelines, models and tools those teams run on.

Signal across a target network Cambridge, MA · Warsaw, PL
02About us

We turn complex biological and chemical data into results you can act on.

MatGen partners with biotech and pharmaceutical companies of every size, from a two-person startup with a single dataset to major pharmaceutical companies with established computational departments of their own. We are actively engaged at both ends of that range today.

The work spans custom analysis pipelines, statistical and machine learning modeling, computational biology and chemistry, and the software and data infrastructure that keeps all of it reproducible. Most engagements are one expert or a small team, working inside your meetings and your repositories.

Everything generated during a collaboration is yours. Analyses, models, and any code we write for you — MatGen keeps no rights over any of it.

Who we work with

  • 01 Teams focused on core biology or chemistry that lack the bandwidth to build software or analysis pipelines.
  • 02 Groups with computational teams of their own that need added expertise to accelerate progress or fill skill gaps.
  • 03 Programs looking for flexible short- or long-term support without adding permanent headcount.
  • 04 Teams that value hands-on execution over strategy-only consulting.
03Coverage

Our areas of expertise.

Most projects draw on several of these at once. A target shortlist needs genomics, statistics and software; a selectivity assessment needs chemistry, machine learning and a well-maintained database behind it.

Bioinformatics and computational biology

GWAS and exome analysis, bulk and single-cell transcriptomics, proteomics, multi-omics integration, pathway and network analysis.

Cheminformatics and molecular modeling

Docking, molecular dynamics, structure prediction, ADME/T and side-effect modeling, generative design of small molecules, peptides and oligonucleotides.

Statistics and probabilistic modeling

Bayesian data integration, hierarchical models, survival analysis, experimental design, and honest treatment of uncertainty.

Machine learning and AI

Property and structure prediction, representation learning, transfer learning on small datasets, and retrieval-augmented assistants over a company's own documents.

Scientific software

Analysis pipelines, bespoke databases, dashboards and internal tools, plus the infrastructure that keeps results reproducible a year later.

Target identification and prioritization

Connecting variants, expression, structure and pathways into a shortlist you can defend to a committee.

04Engagement

Various ways to work with us.

The three below are the arrangements we set up most often, and they are examples rather than a fixed menu — they can be combined, or adapted to whatever your project needs. The full process, including what you sign and how people are matched, is on the HowTo page.

Mode 01

Staff augmentation

An expert joins your team half or full time, for a minimum of three months and typically longer, operating as an extension of your staff.

Mode 02

Project-based

A defined piece of work — a pipeline, an analysis, a tool — scoped against your objectives and delivered against them.

Mode 03

Mixed mode

Senior experts provide strategic guidance and project leadership, while additional experts deliver execution-level support as needed.

How to get started with MatGen

An introductory call runs 30 to 45 minutes. By the end of it you will know whether this is something we can help with, and who from our team would be a good match for the work.