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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