Senior Associate Data Scientist
Core
Develop and deploy machine learning, operational research, semantic analysis, and statistical methods to identify trends, root causes, and improvements in product performance and patient complaints.
Role type
Senior Associate Data Scientist (Healthcare Analytics)
Builds
Analytics solutions and predictive models for product feedback and patient complaint analysis
Domain
Biotechnology / Healthcare
Deliverable
production ML models
Required skills
Machine learning, statistical methods, data visualization, database management, data cleaning, predictive modeling, exploratory data analysis, time-series analysis, regression analysis, clustering, classification
Preferred skills
Applied analytics, feature extraction, Data Bricks platform, healthcare data analysis
Technologies
Data Bricks
Responsibilities
Collect, clean, and manage large datasets related to product performance and patient complaints; Analyze data to identify patterns, trends, and correlations in patient complaints and product issues; Develop analytics or predictive models to foresee potential product issues and patient concerns; Prepare comprehensive reports and visualizations to communicate findings; Collaborate with regulatory and compliance teams to ensure adherence to healthcare standards; Work with software developers to translate algorithms into commercially viable products; Generate reports, annotated code, and other project artifacts to document work and outcomes.
Seniority
Senior, hands-on IC