Project Lead/Manager/Sr Manager - Patient Analytics
Axtria · Bengaluru, Karnataka, India - Hyderabad, Telangana, India - Pune, Maharashtra, India
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Axtria · Bengaluru, Karnataka, India - Hyderabad, Telangana, India - Pune, Maharashtra, India
Job Title- Project Lead/Manager/Senior Manager, Patient Predictive Analytics Location: Gurgaon / Noida / Bangalore / Pune / Hyderabad Job Summary : 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 : • 5-10 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).