Member of Technical Staff - Frontier AI

CT19; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical and dental coverage

Flexible time off

Conference funding

Team meals

Job summary

CT19 in London is shaping the future of AI-driven drug discovery, recruiting a researcher to define the technical stack and set engineering culture from day one.

You’ll design, train and evaluate deep learning models for high-dimensional biological data, build robust training infra for a small team, and create AI agents that reason over data to generate hypotheses and guide experiments.

Qualifications

• A deep understanding of machine learning fundamentals and experience building research-grade models.
• Experience with high-dimensional biomedical datasets such as molecular or clinical data.
• Ability to move quickly, own hard problems and thrive with ambiguity.

Responsibilities

• Define the technical stack and research standards from the ground up.
• Design, train and evaluate deep learning models for high-dimensional biological data.
• Build robust training infrastructure for a small team with speed and discipline.
• Develop AI agents that reason over biological data, generate hypotheses, design experiments and interpret results.

Skills

Deep learning

Biological data

Research-grade models

Experiment design

Tools

Python

PyTorch

TensorFlow

Job description

Shape the future of AI drug discovery at a pioneering start-up who have just secured an impressive Seed round within a few months of being founded.

You’ll have full control over your technical environment, access to world-class compute resources and proprietary biomedical data, and the freedom to shape your research agenda.

From day one, you’ll have the tools, support and autonomy to push the boundaries of AI-driven biological research.

Other benefits include:

• Private medical and dental coverage
• Flexible time off with no strict limits
• Attendance to leading AI and biology conferences - fully funded
• Regular team meals and an environment designed to support ambitious research

What you’ll do

Define the technical stack, research standards and engineering culture from the ground up. Design, train and evaluate deep learning models for high-dimensional biological data, including molecular and clinical datasets.

Build robust training infrastructure that enables a small team to run ambitious experiments with speed and scientific discipline, alongside rigorous evaluation frameworks for biological prediction.

You’ll also develop AI agents that can reason over biological data, generate hypotheses, design experiments, interpret results and improve through feedback.

What you’ll need

• A deep understanding of machine learning fundamentals and experience building research-grade models.
• Experience with biological data, such as single-cell, transcriptomics, proteomics, imaging, EHR, clinical trial or other high-dimensional biomedical datasets.
• Comfort with ambiguity, the ability to move quickly and a willingness to take ownership of hard problems.

About the company

An AI biology startup developing foundation models and intelligent agents to advance our understanding of human disease and accelerate scientific discovery. The team brings together complex data across molecular, cellular and clinical scales to predict how biological systems respond to interventions and uncover insights that can inform new treatments.