Project Lead/Manager/Senior Manager - Patient Predictive Analytics

Job description

**Role & responsibilities** Responsible for data science solutioning (predictive analytics, clustering, segmentation, lookalike modelling), augmenting patient journey analysis and working with anonymized patient-level data. Acts as an expert in Patient and Predictive Analytics, guiding and leading teams supporting pharma clients. Key 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 teams. **Requirements :** -3- 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 reporting. **Qualifications :** 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).