(Early Career) Information Scientist

Lorien
Slough, UK
about 2 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
£54,080.0 - £64,085.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Bioinformatics Data Governance Graph Database Information Management Information Sciences Machine Learning Metadata Natural Language Processing Text Mining Data Processing
+1 more
Data Analytics

Job description

  • 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.

Requirements

  • 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., * Content Analytics
  • Information Scientist
  • Machine Learning
  • AI frameworks

About the company

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.

Apply for this position

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Apply on www.reed.co.uk
Prepare application

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