Senior Associate/Project Leader/Manager: Patient Analytics

Job description

Job Summary: - 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: -  o Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery.  o 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  o Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats  o Contribute towards Axtria tools and capabilities as per the business requirements.  o Build organization capabilities by participating in Hackathon, solution design, and process automation o Effectively communicate with onshore/ client (as per business needs) Job Requirements: -  o Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain.  o We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics.  o 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  o Experience using various patient-level data like APLD, EMR, patient registries, Prescription data, formulary data, etc  o Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting o Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations.  o Experience in pharmaceutical sales and marketing analytics would be preferred o Effectively communicate with onshore/ client (as per business needs) o Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills o Good to have work experience in building statistical modeling and/or AI/ML models using Python, R Studio, PySpark, Keras, and TensorFlow.  o Strong communication, project management, and storyboarding skills o 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.  Qualification: - o BE/ B. Tech/ B. Pharma/M. Pharma/M Tech/MBA  Must have Skills: -  o Expertise in pharma real-world data like APLD, EMR, Prescription data, formulary data, etc Skills that give you an edge: -  o Good to have work experience in building statistical modeling and/or AI/ML models using Python, R Studio, PySpark, Keras, and TensorFlow