Information Scientist - Biomedical Data & AI

Slough
5 days ago
Create job alert

Are you curious about how AI is transforming biomedical research? A successful pharmaceutical company is looking for an Information Scientist to join a forward-thinking team working at the cutting edge of information science, AI and pharmaceutical R&D.

This role is ideal for someone who enjoys exploring new technologies, applying AI to real scientific challenges and helping researchers unlock insight from complex biomedical literature.

What you’ll be doing

  • Using AI, NLP and LLMs to mine, summarise and analyse biomedical literature

  • Designing smarter workflows for content analytics and knowledge management

  • Supporting pharmaceutical R&D through high-quality, FAIR data and semantic technologies

  • Acting as a subject matter expert for AI-driven content analytics

  • Collaborating with cross-functional teams across science, data and digital

  • Championing ethical, compliant and responsible use of AI

  • Training and enabling teams to get the most from modern content analytics tools

    What we’re looking for

  • Background in Drug Discovery, Biomedical Research or similar with an ability to interpret scientific literature

  • Experience or strong interest in NLP and LLM technologies (transformers, RAG, prompt engineering)

  • Python and AI frameworks for text analytics

  • Knowledge of ontologies, knowledge graphs and semantic technologies

  • Confident communicator who enjoys working with diverse stakeholders

  • Curious, adaptable and comfortable in a fast-evolving environment

    Why apply?

  • Work at the intersection of AI and biomedical science

  • Influence how scientific knowledge is discovered and shared

  • Join a collaborative, innovative and future-focused environment

    The role is offered on an initial 12 month contract; the job holder is expected to work from the company's HQ in Slough minimum 2 days/week.

    Keywords: Information Scientist, Content Analytics, Knowledge Management, Scientific Information, Biomedical Information, Information Science, Artificial Intelligence AI, Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning, Text Analytics, Literature Mining, Retrieval Augmented Generation (RAG), Prompt Engineering, Python, Knowledge Graphs, Ontologies, Semantic Technologies, London, Slough, Reading, Oxford, VRS9353SE

Related Jobs

View all jobs

Senior Data Scientist

Environmental Data Scientist/Hydrologist

Environmental Data Scientist/Hydrologist

Lead Data Scientist

Digital Payload Architect

Senior Data Engineer - (ML and AI Platform)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

Robotics Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Robotics looks futuristic from the outside. People picture humanoid machines, cutting-edge labs & young engineers writing complex code. In the UK job market, the reality is more practical and more encouraging for career switchers: robotics is already embedded across manufacturing, logistics, healthcare, agriculture, defence, construction & inspection. That means there are real jobs for people in their 30s, 40s & 50s who bring operational experience, delivery skills, quality discipline & the ability to work with real-world systems. This article gives you a clear UK reality check on robotics careers for career switchers: what roles genuinely exist, which paths are most realistic, what skills employers actually hire for, how long retraining tends to take & whether age is a factor.

How to Write a Robotics Job Ad That Attracts the Right People

Robotics is moving rapidly from research labs into real-world deployment. Across the UK, robots are now used in manufacturing, logistics, healthcare, defence, agriculture, autonomous vehicles and service industries. As adoption accelerates, demand for skilled robotics professionals continues to grow. Yet many employers struggle to attract the right candidates. Robotics job adverts often receive either very few applications or large numbers of unsuitable ones. Experienced robotics engineers, meanwhile, routinely skip adverts that feel vague, unrealistic or disconnected from how robotics systems actually work in practice. In most cases, the problem is not the talent pool — it is the job advert itself. Robotics professionals are systems thinkers. They care deeply about constraints, integration and real-world performance. A poorly written job ad signals weak technical understanding and unrealistic expectations. A well-written one signals credibility, seriousness and a mature robotics programme. This guide explains how to write a robotics job ad that attracts the right people, improves applicant quality and positions your organisation as a credible employer in the robotics sector.