Principal Scientist – AI/ML Workflow & Ecosystem Lead (Large Molecule Discovery Informatics)
Tasks
- Align with enterprise AI ML strategy and platform teams
- Build and lead multidisciplinary AI enablement team
- Define ontology and metadata frameworks
- Define research to production handoff patterns
- Develop ML ready datasets and data pipelines
- Establish best practices for model reproducibility documentation governance compliance
- Integrate AI enablement data standards and workflow integration
- Lead AI ML model deployment into production workflows
- Lead cross functional initiatives and manage dependencies
- Monitor adoption performance and impact with metrics dashboards reporting
- Partner with experimental and computational scientists on AI ML integration
- Standardize biological data
Perks/Benefits
- Career development
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid time off
- Remote work options
- Retirement savings plan
- Vision insurance
- Work-life balance
Skills/Tech-stack
Artificial Intelligence | Assay Data | Biological Data | Compliance | Data Engineering | Data Modeling | Data Pipelines | Data platforms | Governance | Lifecycle Management | Machine Learning | Machine Learning Lifecycle Management | Machine learning lifecycle | Metadata | Model Reproducibility | Ontology | Scientific Data | Scientific data platforms | Sequencing
Education
Bachelor of Science | Doctorate | MD | Master of Science | PhD | PharmD
Roles
AI | AI/ML Scientist | ML Scientist | Principal | Principal Scientist | Scientist
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