Lead AI Engineer, Biomedical & Vigilance Innovation
RTP, NC, United States
R
USD 150K-185K (estimate) Senior-level Full Time
Tasks
- Apply ontology mapping and terminology harmonization
- Build generative AI applications
- Build scalable biomedical data pipelines
- Create case triage and duplicate detection tools
- Design machine learning solutions
- Develop AI dashboards and visualization tools
- Develop natural language processing pipelines
- Develop pharmacovigilance AI platforms
- Develop surveillance models for novel modalities
- Engineer predictive risk models
- Ensure GxP privacy security validation compliance
- Establish model governance performance monitoring explainability and change control
- Implement data lineage and audit readiness
- Improve safety signal detection and prioritization
- Integrate structured and unstructured datasets
- Maintain validation testing and intended use documentation
- Perform adverse event intake automation
- Support case processing efficiency medical review and reporting
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Automation | Automation | Cloud Computing | Computer Vision | Data Engineering | Data Lineage | Data Quality | Data Validation | Data quality control | Explainable AI | Generative AI | GxP | Knowledge graphs | Language Models | Language Processing | Large Language Models | MATLAB | MLOps | Machine Learning | MedDRA | Metadata Management | Model Governance | NLP | Natural Language | Natural Language Processing | Ontology mapping | Predictive Modeling | Privacy | PyTorch | Python | Quality Control | R | Regulatory Compliance | Security | Staging Schema | TensorFlow | Terminology Harmonization | Text Mining | WHO Drug
Education
Roles
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