Early Career Information Scientist
Listed on 2026-07-15
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Early Career Information Scientist
- Content Analytics & Data Science
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
- Type:
Temporary - Duration: 12 months
- Location:
Slough (Hybrid - minimum 2 days onsite) - Rate: (INSIDE IR35)
- Pay: up to £22.40 per hour (PAYE)
- Pay: 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.
- 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.
Please click and submit your profile and/or to discuss further, contact Theo Charles on (phone number removed).
Guidant, Carbon
60, Lorien & SRG
- The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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