Early Career) Information Scientist

Early Career Information Scientist - Content Analytics \& Data Science Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. 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. xlqdzyr 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 (phone number removed)Guidant, Carbon60, Lorien \& SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy