Bioinformatics Apprentice

Are you ready to take on pivotal work that will aid Gordian Biotechnology in pinpointing the most promising therapeutic targets for the development of novel drugs? Join our Apprenticeship Program and help us on our mission to cure age-related disease. We want people to lead longer, healthier lives and wake up every morning, more capable than the day before!

Gordian Biotechnology is a therapeutics company whose mission is to cure age-related disease and wake up every morning more capable than the day before.

Traditional ex vivo screening methods have failed to produce effective treatments, as age-related diseases have complex causes that include interactions with the aged environment.

To address this problem, Gordian’s Mosaic Screening pools interventions in living animals, producing datasets with causal validation for hundreds of targets, in the living context of disease and mapped to human patients. This data lets us make the most informed choices on what new ideas for treating complex disease, and move validated targets into drug development. (more info on our website, and in our preprint).

We are running this discovery engine in successive indication areas, currently focused on cardiometabolic, to map the in vivo effects of every druggable target across every relevant organ. We then develop drugs and run clinical trials, both internally and in collaboration with multiple partners. And by pooling the data from each program, we can start to identify medicines with broad impact on the multimorbidity and decline caused by aging.

As our Bioinformatics Apprentice, you'll be instrumental in building, supporting, and maintaining the computational backbone that powers Gordian's discovery engine, while working shoulder-to-shoulder with the scientists whose questions that backbone exists to answer. This role sits at the intersection of biology and software: you'll need an understanding of the biology behind our in vivo screening data, paired with the coding skills to build and maintain the pipelines that turn that data into insight.

This apprenticeship offers a unique experience in early-stage biotech, allowing you to refine technical skills while undertaking substantive projects that expand your knowledge of both science and the business of science. As a full-time team member, you will collaborate closely with disease specialists, gene therapists, and data teams in a collaborative matrix environment.

You will gain an insider's perspective into a rapidly growing startup and see how software engineering directly accelerates biotech discovery, taking our platform from concept to delivering insights that drive drug development.

In this track, you will learn how software and data infrastructure support large-scale genomic analysis.

Your experience will include:

• Scientific Grounding: Deepening your understanding of single cell sequencing and molecular biology, you will learn how to translate open scientific questions into abstract computational systems.
• Production-Grade Code: Learning to write robust, scalable code for biological data.
• Cloud Infrastructure: Gaining hands‑on experience with Google Cloud and architecting systems for real‑time data processing.
• Workflow Orchestration & Containerization: Utilizing tools to manage complex computational systems and process in vivo screening data.
• High-Performance Computing (HPC): Managing HPC clusters to support massive genomic datasets.
• Scientific Insight: Seeing how high‑dimensional screening data is transformed into practical insight through interactive tools, in close partnership with our biologists.

Beyond technical skills, you will gain exposure to startup operations and the adaptability required to build a fast‑moving company. This includes learning through company lunch and learns, monthly industry happy hours, and 1:1 time with our founders.

You have a background in either computer science, biology or bioinformatics and are motivated and interested in developing across these areas.

You have a grounding in biology: at minimum, coursework or research experience beyond intro‑level classes, ideally with research…