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).