Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. The company enables pharmaceutical, medical device, and diagnostics organizations to transform product commercialization and improve healthcare outcomes worldwide.
Job Title- Project Lead/Manage, 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 :
- 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 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).
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