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- Tasks: Design AI workflows to extract insights from biomedical literature and collaborate with diverse teams.
- Company: Leading pharmaceutical R&D firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging AI and data analytics.
- Qualifications: Background in information science or data science; interest in NLP and AI.
- Other info: Join a dynamic team with a passion for advancing biomedical research.
The predicted salary is between 36000 - 60000 £ per year.
The Bioinformatician - Content Analyst will support pharmaceutical R&D by applying information science, data analytics, and AI to extract insights from biomedical literature. The role focuses on designing scalable content analytics workflows, enabling responsible AI use, and collaborating across scientific and digital teams.
Key Responsibilities
- Design and maintain AI-enabled workflows for literature mining, summarization, and trend analysis.
- Apply NLP and large language models to improve information retrieval and content classification.
- Ensure content and data comply with FAIR principles, data governance, and licensing requirements.
- Act as a subject matter expert for content analytics and support cross-functional collaboration.
- Deliver training and guidance on AI/NLP tools and best practices.
Skills & Experience
- Background in information science, data science, or a related discipline.
- Experience or strong interest in NLP, LLMs, and AI-driven text analytics.
- Knowledge of FAIR data principles, metadata, and semantic technologies.
- Strong communication skills and ability to work in cross-functional environments.
Bioinformatics Specialist in Reading employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Specialist in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP, AI, and data 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 knowledge of FAIR principles and content analytics. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Bioinformatics Specialist in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in information science and data analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your background in NLP and AI-driven text analytics!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about bioinformatics and how you can contribute to our team. We love seeing enthusiasm for the field, so let your personality come through!
Showcase Relevant Projects: If you've worked on any projects related to literature mining or AI workflows, make sure to mention them. We’re keen to see practical examples of your work, especially those that demonstrate your understanding of FAIR principles and data governance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at BioTalent
✨Know Your Stuff
Make sure you brush up on your knowledge of bioinformatics, NLP, and AI-driven text analytics. Familiarise yourself with the latest trends in literature mining and summarisation techniques. Being able to discuss these topics confidently will show that you're genuinely interested and well-prepared.
✨Showcase Your Skills
Prepare examples from your past experiences where you've designed workflows or applied data analytics. Be ready to explain how you ensured compliance with FAIR principles and how you collaborated with different teams. This will demonstrate your practical skills and ability to work cross-functionally.
✨Ask Smart Questions
Think of insightful questions to ask during the interview. Inquire about the specific AI tools they use or how they approach content classification. This not only shows your interest but also helps you gauge if the company’s approach aligns with your own values and expertise.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex concepts in simple terms, as you may need to train others on AI/NLP tools. Clear communication will help you stand out and show that you can effectively collaborate across scientific and digital teams.
