Associate- Decision Science (10167)

This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients

Overall, 3-5 years of rich experience in the Pharmaceutical / Life Sciences Domain.

We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics.

Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources

Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc

Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations.

Experience in pharmaceutical sales and marketing analytics would be preferred

Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills

Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow.

Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory.