Senior Scientist, Data Science - DDSAI - Preclinical Sciences & Translational Safety (PSTS)
Tasks
- Apply model governance and versioning standards
- Build and maintain scalable data pipelines
- Collaborate with scientific SMEs to design modeling strategies
- Develop and deploy machine learning models for safety signal detection
- Develop predictive models for PK PD dose selection
- Enhance cross study comparability using standardized terminologies
- Evaluate and validate machine learning models
- Integrate toxicology and DMPK domain context into modeling
- Perform representation learning and multivariate analytics
- Transform raw experimental outputs into analysis ready datasets
Perks/Benefits
- Bereavement leave
- Caregiver leave
- Insurance plans
- Parental leave
- Service anniversary recognition awards
- Vacation days
- Volunteer leave
- Well-being reimbursement
Skills/Tech-stack
ADME DMPK | Artificial Intelligence | Biomarker Analytics | Cloud Computing | Data Engineering | Data Governance | Data Pipelines | Data Validation | In vivo | In vivo studies | Knowledge graphs | Machine Learning | Model Deployment | Model Development | Model Evaluation | Multivariate analytics | Ontology integration | PD modeling | PK/PD | PK/PD Modeling | Pharmacodynamics | Pharmacokinetics | Python | R | Representation Learning | SQL | Toxicology | Version control | Workflow Orchestration
Education
Roles
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