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Job verified 5 hours ago

(Early Career) Information Scientist

Lorien·Slough (South East England)
£26 – £31 / hour
Apply on sourceYou are leaving VoxJobs for reed.co.uk — the application is handled directly by the company. reed.co.uk

Job description

Early Career Information Scientist - Content Analytics & Data Science Type: Temporary Duration: 12 months Location: Slough (Hybrid - minimum 2 days onsite) Rate: (INSIDE IR35) - up to £22.40 per hour (PAYE) - up to £30.81 per hour (Umbrella) SRG are supporting a leading pharmaceutical company with a new contract opportunity for an Information Scientist to join a dynamic scientific information and intelligence team. This is an excellent opportunity for someone who is new to the industry or an early-career professional to develop expertise in data science, AI-enabled analytics, and scientific information management within an advanced R&D environment. Based in Slough with hybrid working options available, the role will focus on transforming scientific content and data into practical insights through programmatic and analytical approaches. Key Responsibilities • Develop and maintain programmatic workflows to support scientific data analysis. • Apply data science techniques to identify trends, patterns, and insights from scientific information. • Build and optimise automated pipelines for content analytics and data processing. • Utilise AI and natural language processing (NLP) tools for text mining and summarisation activities. • Collaborate with cross-functional stakeholders to support information and analytics projects. • Contribute to data governance initiatives and responsible AI practices. Skills & Experience Required • Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline. • Basic programming skills with an interest in developing technical capabilities. • Strong analytical and problem-solving skills with attention to detail. • Interest in data-driven approaches to scientific research and information management. • Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. • Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply • Please click and submit your profile and/or to discuss further, contact Theo Charles on Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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Original source
reed.co.uk
Posted
Jul 02, 2026 · true date
Last verified
5 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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