Data Science, Cheminformatics & AI: Lab-in-the-Loop Hit Finding
Tasks
- Apply cheminformatics and generative AI for hit finding
- Design and implement data pipelines for high throughput assay data
- Develop and execute in silico hit finding strategies
- Enable automated reproducible hit finding workflows
- Integrate multimodal data for early hit finding
- Lead data science strategy for Lab in the Loop workflows
- Monitor model performance in deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Agentic Workflows | Cheminformatics | Cloud Computing | Data Pipelines | Data Visualization | Database Management | Deep learning | Documentation | Drug Target Interaction Modeling | Free energy | Free energy perturbation | Generative AI | High Performance | High Throughput | High Throughput Screening | High-Performance Computing | Interaction modeling | Ligand Protein Docking | Linux | Machine Learning | Performance Computing | Protein docking | Python | SQL | Testing | Version control
Education
Roles
Regions
Countries
States
Cities
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