(Early Career) Information Scientist
Lorien
Burnham, United Kingdom
3 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
£ 64KJob location
Burnham, United Kingdom
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
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.