Senior Data Scientist

Understanding Recruitment; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A fast-growing biotech startup in London is seeking a Senior Data Scientist to lead projects applying advanced machine learning techniques to biological datasets. You will collaborate with a team of engineers and researchers, transforming insights into production-grade tools. This role offers hybrid working with high autonomy and focuses on pushing the boundaries of computational biology.

Benefits

Flexible working

High autonomy

Collaborative environment

Qualifications

• Experience in applying machine learning to biological datasets.
• Strong background in advanced machine learning methods.
• Ability to lead projects from research to deployment.

Responsibilities

• Lead end-to-end projects applying machine learning techniques.
• Work closely with scientists and engineers to develop production-grade tools.
• Transform research insights into practical bioinformatics applications.

Skills

Deep learning

Probabilistic modelling

Dynamic programming

Python

Job description

Overview

Senior Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite)

About

Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics.

You’ll lead end-to-end projects applying deep learning, probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter.

Why join

• Lead high-impact projects bridging AI and life sciences
• Collaborate with brilliant engineers and researchers solving hard problems
• Take ownership from research to deployment
• Flexible working, high autonomy, and a clear scientific mission

What they value

• Curiosity and rigour in tackling complex scientific challenges
• A passion for transforming noisy data into meaningful insight
• Strong collaboration across technical and scientific disciplines
• A mindset focused on reproducibility, clarity, and impact

They’re open to a range of ML and scientific backgrounds (Python is the core language).

Location

London | Hybrid (3-4 days/week)

If you’re ready to push the boundaries of what’s possible in computational biology — apply now!