Data Scientist / Comp Biologist

Robert Walters
Cambridge, England
12 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Vertical Aerospace Bristol, United Kingdom
Permanent

Data Scientist

Adaptable Recruitment Liverpool, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Searchability NS&D Cheltenham, United Kingdom
£45,000 – £75,000 pa Permanent Clearance Required

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd
Posted
3 May 2025 (12 months ago)

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.Desirable Skills:Experience in developing and applying protein language models.Knowledge of multi-disciplinary research approaches combining computational and experimental techniquesUnderstanding 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.Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidatesTPBN1_UKTJ

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.