Data Scientist / Comp Biologist

I am recruiting for a highly skilled and motivated Data Scientist / Computational Biologist to join an exciting start up team.

The ideal candidate will have a strong background in biological data analysis, machine learning, and computational biology, with a focus on protein language models and next-generation sequencing (NGS). This role requires an individual who can hit the ground running and contribute to their multidisciplinary research efforts.

Key Responsibilities:

• Work with visualization data to present complex biological information in an intuitive manner.
• Leverage expertise in metabolic diseases, wet lab science, and multidisciplinary research to extract insights from biological data.
• Utilise next-generation sequencing (NGS) data to study molecular structures and optimise engineering approaches.
• Collaborate with biologists, data scientists, and engineers to drive innovative research and applications.
• Implement and optimise machine learning models for biological data interpretation.
• Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis.

Essential Qualifications & Experience:

• PhD in Computational Biology, Bioinformatics, Data Science, or a related field.
• Strong background in biological data analysis with hands-on experience.
• Proficiency in machine learning (ML), Python, and related computational tools.
• Prior experience working with bio data and understanding biological processes.
• Familiarity with NGS technologies and sequencing data analysis (a major advantage).
• Ability to develop robust and scalable data processing pipelines.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Experience in developing and applying protein language models.
• Knowledge of multi-disciplinary research approaches combining computational and experimental techniques.
• Understanding of metabolic diseases and relevant biological pathways.
• Experience with wet lab environments and translating biological findings into computational models.

The role is offering a salary of up to £75,000 per annum and comes with a wealth of benefits.

Please apply within.

About the job:

Contract Type: FULL_TIME

Specialism: Information Technology

Focus: Data Science & AI Research

Workplace Type: On-site

Experience Level: Associate

Location: Cambridge

Job Reference: NUTS13-E12C8740

Date posted: 2 April 2025

Consultant: Tom Sneyd

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