Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC)
UK - Cambridge, United Kingdom
GBP 39K-44K (estimate) Mid-level Full Time
Tasks
- Build agentic workflows for biological insight extraction
- Collaborate with data science R and D IT and platform teams
- Define best practices and guide AI technology choices
- Ensure compliance with standards and maintain electronic laboratory notebook records
- Evaluate and adopt computational biology and AI methods
- Identify prioritize and deliver AI and computational capability projects
- Lead design develop deploy AI powered tools and workflows
- Manage data infrastructure and data standards
- Mentor colleagues on AI enabled approaches and reproducible workflows
- Prepare and deliver scientific and technical presentations
- Serve as AI architect and technical subject matter expert
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Artificial Intelligence | Data Engineering | Data Infrastructure | Data Quality | Data Standards | Data quality control | Deep learning | Electronic Laboratory | Electronic Laboratory Notebook | Graph Neural Networks | LIMS | LLM integration | Laboratory Notebook | Machine Learning | Multiomics integration | Neural Networks | Probabilistic Models | Python | Quality Assurance | Quality Control | R | Shiny | Single-cell | Single-cell Transcriptomics | Spatial transcriptomics | Transformers | Version control
Education
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