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
- Designs and implements AI solutions for client needs while ensuring compliance with organizational goals. Contributes to developing new AI principles and mentors colleagues in technical competencies.
Responsibilities
- Designs and implements effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations.
- Applies leading-edge principles, theories, and concepts, contributes to the development of new principles and concepts.
- Works on unusually complex problems and provides highly innovative solutions.
- Operates with substantial latitude for unreviewed action or decision, mentors or supervises employees in both company and technical competencies.
Requirements
- Experience with Amazon Bedrock and major Generative AI platforms such as ChatGPT, Claude, or Gemini
- Knowledge of Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Ability to develop solutions based on use cases
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree
- Experience with government clients (Nice If You Have)
- Knowledge of federal health agencies (Nice If You Have)
- Bachelor's degree in a Technology field (Nice If You Have)
- AWS Certified Cloud Practitioner, AWS Cloud Solution Architect - Associate, AWS Certified AI Practitioner, or AWS Certified Machine Learning Engineer - Associate Certification (Nice If You Have)
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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