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About Genyx

We bridge the gap between life sciences and software engineering. Our mission is to help biotech, pharma, and research institutions turn data into decisions—with rigor and speed.

Mission

To be the technical partner that combines deep biological knowledge with world-class software engineering. We enable our clients to focus on discovery while we handle the complexity of pipelines, ML, and infrastructure.

Expertise

Our team includes computational biologists, bioinformaticians, ML engineers, and software developers. We have published in top journals, built pipelines used in production by pharma, and shipped products from zero to launch.

Where we focus

NGSMLCloudFAIRGxPReproducibilityAPIsDashboards

We combine deep domain expertise in these areas with production-grade software delivery—so your science scales without compromise.

What we stand for

Scientific rigor

We apply the same standards to code and pipelines that you apply at the bench—reproducibility, documentation, and validation.

Engineering excellence

Clean architecture, testing, and DevOps are non-negotiable. We build systems that scale and maintain.

Partnership

We work as an extension of your team. Clear communication, agile delivery, and long-term support.

Our team

Scientists and engineers who combine deep domain expertise with production-grade software delivery.

  • DJS

    Dr. Jane Smith

    Lead, Computational Biology

    PhD in Bioinformatics. Former staff scientist at a top pharma. Focus: NGS pipelines and regulatory-grade analytics.

  • AC

    Alex Chen

    Head of ML & AI

    ML engineer with a background in genomics and medical imaging. Built models deployed in clinical settings.

  • SW

    Sarah Williams

    Software & Platform Engineering

    Full-stack and cloud specialist. Delivers scalable platforms for biotech and research institutions.

Publications & industry experience

We contribute to open science and stay current with methods and tools. Our work has been cited in peer-reviewed literature and deployed in regulated environments.