Information Scientist

Data Freelance Hub; Reading; Hybrid; GBP 125,000 - GBP 150,000; Full time

Job summary

A staffing agency is seeking an Information Scientist specializing in Content Analytics to focus on NLP, machine learning, and data lifecycle management. This hybrid role requires strong skills in AI frameworks and project management to design workflows for scientific content analysis. The ideal candidate will demonstrate adaptability and possess technical expertise in text analytics. The position offers a dynamic environment aimed at supporting pharmaceutical R&D processes and high-quality scientific information delivery.

Qualifications

• Experience or strong interest in NLP and LLM applications.
• Proficient in Python and AI frameworks for text analytics.
• Knowledge of knowledge graphs and ontology management.
• Strong cross-functional collaboration and stakeholder engagement skills.

Responsibilities

• Design and implement AI-enabled workflows for literature mining.
• Develop and maintain external information endpoints.
• Apply machine learning and LLMs to improve information retrieval.
• Ensure compliance with copyright and data governance requirements.

Skills

NLP and LLM applications

Python for text analytics

Knowledge graphs and ontology management

Data visualization tools

Collaboration and stakeholder engagement

Project management

Scientific communication

Adaptability

Job description

Overview

Information Scientist – Content Analytics role with hybrid work location near Reading, United Kingdom. Contract length and pay rate are unspecified. The role focuses on NLP, machine learning, and data lifecycle management with experience in biomedical information.

Location: Hybrid near Reading, United Kingdom.

Responsibilities

• Design and implement AI-enabled workflows for literature mining, summarization, and trend analysis using NLP tools.
• Develop and maintain external information endpoints, ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Enable interoperability across systems and platforms to support scientific research.
• Apply machine learning and Large Language Models (LLMs) to improve information retrieval and automate content classification.
• Research, evaluate, and propose innovative AI solutions for scientific content analysis.
• Support pharmaceutical R&D processes with high-quality, well-structured scientific information.
• Apply expertise in data lifecycle management, metadata standards, ontologies, and knowledge systems.
• Leverage semantic technologies to ensure data is structured and reusable for scientific use.
• Ensure compliance with copyright, licensing, and data governance requirements.
• Implement data integrity measures and maintain audit trails for AI-enabled workflows.
• Deliver training on AI/NLP tools and best practices for content analytics.
• Develop guidelines and competency frameworks to upskill teams in digital and data science capabilities.

Qualifications

Technical Skills

• Experience or strong interest in NLP and LLM applications (e.g., transformers, Retrieval-Augmented Generation, prompt engineering).
• Python and AI frameworks for text analytics.
• Knowledge of knowledge graphs and ontology management.
• Familiarity with data visualization and scientific communication tools.

Soft Skills

• Strong cross-functional collaboration and stakeholder engagement skills.
• Project management and clear scientific communication.
• Adaptability and curiosity for emerging technologies.

About Planet Pharma

Planet Pharma is an American parented Employment Business/Agency with headquarters in Chicago and an EMEA regional office in Central London. We provide global staffing services and operate compliantly in 30+ countries with a network of 2500+ active contractors and a strong permanent recruitment offering. We have been recognised by FORBES as a top professional staffing firm and hold awards from industry bodies for excellence and service delivery.

We are an equal opportunities Recruitment Business and Agency and welcome applications from all suitably qualified candidates regardless of race, sex, disability, religion/belief, sexual orientation or age. Website: www.planet-pharma.com

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