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
Come join our global team of creative thinkers, problem solvers and game changers. We offer accelerated career progression, a dynamic culture and expert training.
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