Data Scientist

In Technology Group; London; Hybrid; GBP 90,000; Full time

Job summary

Join a leading biotech company in London as a Data Scientist, focusing on using AI to transform drug discovery. This role offers a unique opportunity to contribute to impactful projects at the intersection of computational science, biology, and chemistry. You will design machine learning models, integrate various datasets, and collaborate with specialists across disciplines.

Benefits

Competitive salary and equity options

Flexible/hybrid working environment

Collaborative culture with clear impact on healthcare

Qualifications

• Proven experience applying AI/ML to biological or chemical datasets.
• Familiarity with drug discovery pipelines, molecular data, or high-dimensional biological datasets.

Responsibilities

• Design, implement, and optimise machine learning models.
• Integrate and analyse multi-omics and clinical datasets.
• Collaborate with cross-functional teams.

Skills

Machine Learning

AI

Python

Data Analysis

Education

MSc or PhD in Computer Science, Bioinformatics, Data Science, or related field

Tools

scikit-learn

TensorFlow

PyTorch

AWS

GCP

Job description

Data Scientist – AI for Drug Discovery

Location: London

Industry: Biotechnology / Drug Discovery

Salary: £90,000

Are you passionate about using AI to revolutionise drug discovery? Join a cutting-edge biotech company on a mission to transform how new therapies are identified, developed, and delivered.

We’re looking for a Data Scientist with strong experience in machine learning and AI to help drive data-led decision-making and uncover novel biological insights. This is a unique opportunity to work at the intersection of computational science, biology, and chemistry, contributing to projects that have a direct impact on patients' lives.

Key Responsibilities:

• Design, implement, and optimise machine learning models to accelerate drug target identification, compound screening, and biomarker discovery
• Integrate and analyse multi-omics, chemical, and clinical datasets to support hypothesis generation and validation
• Collaborate with cross-functional teams including bioinformaticians, biologists, chemists, and software engineers
• Translate complex data into actionable insights through dashboards, reports, and presentations
• Stay at the forefront of AI/ML trends in drug discovery and bring innovative techniques into the team

Experience:

• MSc or PhD in Computer Science, Bioinformatics, Data Science, Computational Biology, or related field
• Strong track record applying AI/ML methods (e.g., deep learning, ensemble models, NLP) to biological or chemical datasets
• Proficient in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with drug discovery pipelines, molecular data, or high-dimensional biological datasets (e.g., omics, imaging, screening)
• Comfortable working in a fast-paced, collaborative environment

Desirable:

• Experience with generative models (e.g., for molecule generation)
• Familiarity with cheminformatics and structural biology tools
• Exposure to cloud-based platforms (e.g., AWS, GCP) and workflow automation

What We Offer:

• The chance to be part of a pioneering biotech pushing the boundaries of AI in drug discovery
• Competitive salary and equity options
• Flexible/hybrid working environment
• A collaborative culture with clear impact on real-world healthcare challenges

Please apply ASAP to be considered for the position.