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(Early Career) Information Scientist

Posted 1 hour 2 minutes ago by Lorien

£26 - £30.81 Hourly
Temporary
Not Specified
Temporary Jobs
Berkshire, Slough, United Kingdom, SL1 0
Job Description

Early Career Information Scientist - Content Analytics & Data Science

Type: Temporary Duration: 12 monthsLocation: 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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