Sr. Data Scientist AI/ML Drug Discovery | Onsite San Diego HQ
Tasks
- Build AI ML pipelines for antibody design and optimization
- Build predictive and mechanistic models for multi omics data
- Communicate model findings to scientific and executive stakeholders
- Design develop and deploy AI ML models for drug development decisions
- Implement quality control measures and standard operating procedures
- Integrate and visualize multi omics data
- Lead cross functional initiatives for AI ML in drug discovery pipelines
- Train fine tune and validate deep learning and generative models
Perks/Benefits
- Health insurance
- Paid Holidays
- Paid caregiver/parental leave
- Paid personal days
- Paid vacation
- Retirement savings plan with company match
Skills/Tech-stack
Antibody Design | Biomarker Discovery | Cell analysis | Cloud Computing | Data Processing | Deep learning | Diffusion Models | Disease biology | Generative Models | Genomics | Geometric Deep Learning | Graph Representation | Graph Representation Learning | High Performance | High-Performance Computing | Large Scale Data | Large-scale | Large-scale Data Processing | Linux | Machine Learning | Model Interpretability | Multi-Omics | Multi-Omics Integration | Multimodal Learning | Omics integration | Patient Stratification | Performance Computing | Protein Structure Analysis | Protein structure | Proteomics | PyTorch | Python | R | Representation Learning | ScRNA-seq | Single Cell Analysis | Single-cell | Spatial omics | Structure analysis | Target validation | TensorFlow | Transcriptomics | Transformers
Education
Roles
Regions
Countries
States
Cities
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