Decision Science

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

Job Responsibilities

• Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery.
• Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis
• Ensure high-quality analytics solutions/reports to the client
• Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats
• Contribute towards Axtria tools and capabilities as per the business requirements.
• Build organization capabilities by participating in Hackathon, solution design, and process automation
• Effectively communicate with onshore/ client (as per business needs)

Education

Bachelor of Engineering

Bachelor of Technology

Work Experience

• Overall, 3-5years 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.