PhD intern developing agentic workflows for bioinformatics in a London biotech team. Collaborating with scientists to integrate AI in bioinformatics and metabolomic chemistry applications.
About the role
- AI Consultant working on AI use cases with a focus on applied machine learning and generative AI. Collaborating with multidisciplinary teams to evaluate and validate AI applications.
Responsibilities
- Rapidly prototype AI use cases such as summarisation, forecasting, and trend detection
- Work closely with stakeholders to understand business challenges and identify potential AI applications
- Analyse data availability, quality, and suitability for proposed AI solutions
- Conduct feasibility studies and risk assessments for AI use cases
- Develop prototypes and proof-of-concepts to validate assumptions and demonstrate potential impact
- Provide clear recommendations on whether to proceed, pivot, or discard use cases based on findings
- Stay updated on emerging AI technologies and advise on their applicability to business needs
- Contribute to internal knowledge sharing and best practices
Requirements
- Hands-on experience with LLMs, NLP, and ML frameworks (e.g. Python, HuggingFace , LangChain)
- Strong experimentation mindset and ability to iterate quickly
- Experience in model evaluation, tuning, and prompt engineering
- Familiarity with working on unstructured or mixed data sources
- Ability to work collaboratively in a cross-functional team environment
- Clear communication skills and a proactive approach to problem-solving.
Benefits
- Flexibility
- Support
- Performance-based recognition
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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