Data Scientist - Pharma R&D (Patient Safety & Medical Affairs)
Tasks
- Apply causal inference methods
- Build data interoperability and integration pipelines
- Derive endpoints and automate decision support
- Design semantic and logical frameworks for natural language discovery
- Develop unified data models for evidence planning
- Ensure model documentation reproducibility and monitoring
- Lead end-to-end data science projects
- Manage enterprise level datasets
- Prototype and productionize machine learning models
Perks/Benefits
- Additional Paid Leave for Charity
- Dedicated training budget
- Flex location
- Group life insurance
- Multisport
- Private healthcare
- Recharge Fridays
- Take time program
- Vacation subsidy
Skills/Tech-stack
Artificial Intelligence | Causal Inference | Data Architecture | Data Interoperability | Data Modeling | Digital Pathology | EHR | ETL | Experimental Design | FHIR | GDPR | GenAI | HIPAA | ICD10 | Imaging | Language Processing | Machine Learning | Model Deployment | Monitoring | Natural Language | Natural Language Processing | OMOP | Pharmacovigilance | Pipeline Development | Predictive Analytics | Python | R | Real-World Data | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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