Lead Research Scientist overseeing product development and documentation for liquid and injectable formulations at a global health company. Collaborating on innovative medicines at Apotex in Bangalore.
UG
Hybrid Research Fellow – Privacy-Preserving Clinical NLP
Posted 7 hours ago
About the role
- Research Fellow in Privacy-Preserving Clinical NLP leading research on AI privacy with NHS data. Developing methods to evaluate and mitigate privacy risks in transformer-based NLP systems.
Responsibilities
- Lead cutting-edge research at the intersection of natural language processing, large transformer models, and AI privacy.
- Work with real-world NHS clinical and administrative data within secure Trusted Research Environments.
- Develop novel methods to understand, evaluate, and mitigate privacy risks in transformer-based NLP systems.
- Shape how advanced language models can be safely developed, evaluated, and disclosed in high-stakes healthcare settings.
Requirements
- PhD (awarded or near completion) in NLP, Machine Learning, Computer Science, AI, Health Informatics, or a related discipline.
- Hands-on experience developing and evaluating transformer-based language models.
- Experience working with sensitive health data, clinical text, or secure research environments is highly desirable.
- Knowledge of model robustness, fairness, bias mitigation, explainability, or governance in AI systems is advantageous.
- Comfortable designing rigorous computational experiments and analysing model behaviour.
- Strong interest in responsible, safe, and privacy-aware AI.
Benefits
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits.
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