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- Tasks: Design AI-driven workflows and extract insights from biomedical literature.
- Company: Leading global biopharmaceutical company with a focus on innovation.
- Benefits: Competitive hourly rate, hybrid working options, and professional development opportunities.
- Why this job: Join a cutting-edge team and shape the future of scientific information with AI.
- Qualifications: Experience or strong interest in NLP, Python proficiency, and excellent communication skills.
- Other info: Dynamic role with a chance to collaborate across functions and grow your career.
The predicted salary is between 30 - 40 £ per hour.
Location: Slough/Remote (hybrid or remote working options available)
Duration: 12 months initial (temporary role)
Rate: up to £38.84 per hour (based on experience, INSIDE IR35)
SRG is proud to be supporting a leading global biopharmaceutical company in the search for an Information Scientist specialising in Content Analytics.
Role Summary
SRG is partnering with an innovative pharmaceutical organisation to recruit an Information Scientist who will play a key role in advancing AI‑enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision‑making, and optimise scientific workflows. This is an exciting opportunity for someone passionate about AI, knowledge management, and the future of scientific information.
Key Responsibilities
- Design and implement AI‑driven workflows for literature mining, summarisation, and trend analysis.
- Maintain and develop external information endpoints aligned with FAIR data principles.
- Apply machine learning and LLMs to improve information retrieval and automate content classification.
- Collaborate with cross‑functional teams and act as a subject matter expert for content analytics initiatives.
- Ensure compliance with copyright, licensing requirements, and data governance standards.
- Deliver training and develop best‑practice guidance for AI/NLP tools and content analytics.
Skills & Experience Required
- Experience or strong interest in NLP, LLMs, and AI frameworks.
- Proficiency with Python and tools used for text analytics and data visualisation.
- Knowledge of ontologies, semantic technologies, metadata, or knowledge graph management.
- Excellent communication skills with the ability to collaborate across functions.
- Adaptability and enthusiasm for emerging digital and data‑driven technologies.
To Apply: SRG would be delighted to discuss this opportunity further with you. Please click to apply or contact Theo Charles for more details.
Information Scientist - Content Analytics in Slough employer: SRG
Contact Detail:
SRG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Information Scientist - Content Analytics in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to NLP, machine learning, or content analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with AI frameworks and Python. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Information Scientist - Content Analytics in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Information Scientist role. Highlight your experience with NLP, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and content analytics. Share specific examples of how you've applied your skills in previous roles. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Since this role involves Python and text analytics tools, make sure to mention your proficiency in these areas. If you've worked with LLMs or data visualisation tools, give us the details! We’re keen to know how you can leverage these skills in our projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. We can’t wait to hear from you!
How to prepare for a job interview at SRG
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP, machine learning, and AI frameworks. Be ready to discuss how you've applied these in past projects or how you plan to use them in this role. Showing genuine enthusiasm for these technologies will definitely impress.
✨Showcase Your Skills
Prepare to demonstrate your proficiency with Python and any text analytics tools you've used. You might be asked to solve a problem on the spot, so practice coding challenges related to data visualisation and content classification beforehand.
✨Collaboration is Key
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and adaptability, as these are crucial for ensuring smooth teamwork in content analytics initiatives.
✨Understand the Bigger Picture
Familiarise yourself with FAIR data principles and compliance standards relevant to the biopharmaceutical industry. Being able to discuss how you would ensure adherence to copyright and data governance will show that you're not just technically skilled but also aware of the industry's ethical considerations.
