Project Lead/Manager - Patient Predictive Analytics
Core
Lead data science solutioning for predictive analytics, clustering, segmentation, and lookalike modeling to augment patient journey analysis using anonymized patient-level data for pharma clients.
Role type
Senior IC data science project lead (patient predictive analytics)
Builds
Predictive analytics solutions and reports for pharmaceutical commercialization
Domain
Life Sciences / Pharmaceutical Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
predictive analytics, clustering, segmentation, lookalike modeling, statistical modeling, pharma real-world data (APLD, EMR, prescription), Python, PySpark, Databricks, XGBoost, AdaBoost, Random Forest, K-means
Preferred skills
Deep Learning, TensorFlow, Keras
Technologies
Python, PySpark, Databricks, XGBoost, AdaBoost, Random Forest, K-means, TensorFlow, Keras
Responsibilities
Manage client and onshore stakeholders to ensure successful delivery; Collaborate with project managers to define algorithms and break down problems; Deliver high-quality analytics solutions and reports in client-ready formats; Scope projects, design solutions, execute, and communicate findings; Contribute to Axtria tools and capabilities; Participate in hackathons, solution design, and process automation
Seniority
Senior, hands-on IC
