Computational Scientist Lead - DBM
Tasks
- Analyze multimodal sensor based patient data
- Build data pipelines for digital biomarker operationalization
- Create visualizations dashboards and summaries for decision making
- Develop ML algorithms for emerging data modalities
- Develop digital biomarker analysis pipelines
- Develop machine learning and statistical models for clinical outcomes
- Evaluate digital biomarker feasibility
- Extract physiology behavior function symptom features
- Identify innovations in digital endpoints and multimodal modeling
- Integrate digital biomarker outputs with clinical trial and real world evidence
- Provide guidance on study design modeling and validation
- Publish methodologies and results
- Share knowledge across organization
- Support regulatory and medical submissions
Perks/Benefits
Skills/Tech-stack
Agile | Clinical Trial Analytics | Clinical trial | Data Pipelines | Data Quality | Data analytics | Data quality control | Digital Biomarkers | Feature Engineering | Machine Learning | Multimodal modeling | NumPy | Pandas | PyTorch | Python | Quality Control | Real-World Evidence | Reproducible analysis | SQL | SciPy | Scikit-learn | Sensor data | Sensor data analytics | Statistical modeling | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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