Axtria - Project Manager - Patient Predictive Analytics in Pune, भारत

Axtria is a global provider of award-winning cloud software and data analytics to the life sciences https://jobeax.com/link/R7sen0HvXcbIeSIo company enables pharmaceutical, medical device, and diagnostics organizations to transform product commercialization and improve healthcare outcomes https://jobeax.com/link/KkhVrTuFLloVZx2a Title : Project Lead/Manage, Patient Predictive https://jobeax.com/link/5Rt74OcAEYzS40UN : Gurgaon / Noida / Bangalore / Pune / https://jobeax.com/link/eyr9HnAmZrN9pHsb Summary :Responsible for data science solutioning (predictive analytics, clustering, segmentation, lookalike modelling), augmenting patient journey analysis and working with anonymized patient-level https://jobeax.com/link/RhYeMBDcWi1QzeTT as an expert in Patient and Predictive Analytics, guiding and leading teams supporting pharma https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities :- Manage client/onshore stakeholders to ensure successful delivery.- Collaborate with project managers to define algorithms, break down problems, and run analyses.- Deliver high-quality analytics solutions/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.- Communicate effectively with clients and onshore https://jobeax.com/link/YDQVgxQ4coeDFn9F :- 4 - 9 years of experience in Pharmaceutical/Life Sciences domain.- Expertise in Data Science/ML algorithms, predictive analytics, clustering, segmentation, lookalike modelling, statistical models.- Experience with advanced analytics across patient journey (line of therapy, switch analysis, segmentation, adherence, patient identification, etc.).- Expertise in commercial pharmaceutical analytics (HCP, payer, patient analytics).- Strong logical reasoning, structuring of analysis, problem-solving.- Skills in data visualization, story-telling and https://jobeax.com/link/Kiix5vuhnCIgz8bt :- Bachelors/Masters in Statistics, Economics, Mathematics, Operations Research, Engineering, Technology, Pharmacy, Management.Must-Have Skills :- Expertise in pharma real-world data (APLD, EMR, prescription, specialty pharmacy).- Experience in statistical modelling and AI/ML tools (Python, PySpark, Databricks).- Algorithms XGBoost, AdaBoost, Random Forest, K-means, etc.Nice-to-Have Skills :- Experience in Deep Learning (Python, PySpark, Keras, TensorFlow). (ref:hirist.tech)