Information Scientist

Hyper Recruitment Solutions Ltd
UK
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Computer Programming Information Sciences Automation of Marketing Text Mining Data Analytics

Job description

Your duties as the Information Scientist will be varied; however, the key duties and responsibilities are as follows:

  1. As the Information Scientist, you will develop and support programmatic workflows for scientific data analysis.2. As the Information Scientist, you will apply data science techniques to extract trends and insights.3. As the Information Scientist, you will build automated pipelines for content analytics.4. As the Information Scientist, you will use AI and NLP tools for text mining and summarisation.

Requirements

  1. Relevant degree in life sciences, data science, or a related field.2. Proven industry experience in programming and data analysis.3. A working knowledge and practical experience with AI and NLP tools. Key Words:Early Career Information Scientist / Content Analytics / Data Science / Biomedical Literature / Programmatic Workflows / AI / NLP / Text Mining / Scientific Data Analysis / Pharmaceutical R&D / Hybrid Remote Working Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.

About the company

An exciting position has arisen for an Information Scientist in Content Analytics & Data Science to join a leading organisation in the pharmaceutical industry based in the Berkshire area. This role offers hybrid and remote working options. As an Information Scientist, you will be at the forefront of integrating scientific knowledge with advanced data science techniques to derive meaningful insights from biomedical literature and external data sources.

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