Associate - Decision Science

Job description

Position 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 • 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 Master Diploma - Business Administration Master of Business Administration in Computer or Business Administration Work Experience • 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. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics Pharma Forecasting