ML Research Scientist | Pre-seed startup

Cubiq Recruitment; England; Remote; GBP 70,000 - 100,000; Full time

Job summary

A dynamic early-stage startup in the UK is seeking a talented ML Research Scientist to apply machine learning to biological challenges. The ideal candidate has strong knowledge of modern ML techniques and experience with biological data, working closely with chemists and biologists. This role offers full remote flexibility with quarterly meetups in London, providing significant scientific ownership in a fast-paced environment.

Qualifications

• Strong grounding in modern machine learning methods such as generative models and geometric deep learning.
• Experience with biological or molecular data like proteins or structures.
• Ability to collaborate effectively with chemists and biologists.
• Experience delivering in a fast-paced startup environment.

Responsibilities

• Apply machine learning to solve biological problems.
• Develop models that influence real experimental decisions.
• Collaborate in a fast-paced startup environment.

Skills

Modern ML techniques

Biological or molecular data

Collaboration with chemists and biologists

Experience in fast-paced environments

Biological data

Cross-disciplinary collaboration

Fast-paced environment

Job description

ML Research Scientist | Pre‑seed startup

This range is provided by Cubiq Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Cubiq Recruitment

Building Data & AI Teams for BioAI startups in the UK

About the role

I’m working with a well‑funded early‑stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security.

They’re building an ML‑first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions.

They’re looking for an ML Research Scientist who:

• Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.)
• Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces
• Can work closely with chemists and biologists, and actually make the models useful
• Has experience delivering in a fast‑paced environment

You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap.

Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Research and Engineering