Principal Data Scientist
Tasks
- Contribute to IP and publication strategy
- Define signal extraction approaches and evaluation frameworks
- Develop evidence generation for regulatory submissions
- Drive data collection and labelling strategies
- Introduce new methods and tools for signal extraction and ML
- Lead development and validation of complex data science components
- Lead ground truth definition dataset governance and benchmarking
- Own signal processing and ML model development
- Provide technical review methodological rigor and reproducibility
- Represent data science in cross functional architecture reviews and external engagements
Perks/Benefits
- Company equity plan
- Dental insurance
- Fresh Fruit Deliveries
- Group life assurance
- Lunch voucher
- Mental health support
- Pension plan
- Private medical insurance
- Snacks and drinks
- Udemy Access Upskilling
- Unlimited holidays
- Vision insurance
- Work from home
- YuLife subscription
Skills/Tech-stack
Algorithm validation | Biomedical Data | Biomedical Data Science | Collection strategies | Data Analysis | Data Governance | Data Science | Data collection | Data collection strategies | Data labeling | Dataset Benchmarking | Evidence generation | Industry compliance | Machine Learning | Model Development | Physiological data | Physiological data analysis | Regulated Industry Compliance | Regulated industry | Reproducibility | Scientific Integrity | Series analysis | Signal Processing | Time Series | Time Series Analysis
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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