AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration
Cambridge, England, GB; Berlin, BE, DE
GBP 58K-90K (estimate) Senior-level Full Time
Tasks
- Build automated data ingestion processing pipelines
- Collaborate with ML computational biology and experimental teams
- Connect machine learning models with experimental observables
- Define evaluation metrics for biological utility
- Design experimental datasets for machine learning
- Develop workflows from noisy signals to model insights
- Establish closed loop model and experiment workflows
- Perform data curation quality control and uncertainty estimation
- Publish research and release datasets software
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Binding assays | Cryo-EM | Data Curation | Data Ingestion | Data Processing | Databases | Deep learning | Diffusion Models | Distributed Computing | Generative Models | LLM-assisted workflows | Machine Learning | Mass Spectrometry | Molecular Dynamics | NMR | Next-Generation Sequencing | Protein expression | Protein purification | Proteomics | Python | Quality Control | Representation Learning | SPR | Sequencing | Statistical Mechanics | Structural Biology | Uncertainty Estimation | X-Ray
Roles
Regions
Countries
States
Cities
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