- Integrate and analyze claims, EHR, lab, and pharmacy datasets etc to develop longitudinal patient journey across multiple care settings

- Define cohorts, enrollment logic, and episode-of-care frameworks

- Ensure data quality, consistency, and reproducibility

Advanced Analytics & Predictive Modeling :

- Develop complex SQL /Python queries for large-scale healthcare datasets

- Use Python to perform predictive modelling to build and validate models (classification, regression, survival, clustering etc)

Data Interpretation & Storytelling :

- Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards

- Communicate complex methodologies to both technical and non-technical stakeholders

- Quantify business and clinical impact of recommendations

Innovation & Learning Agility :

- Quickly ramp up in new therapeutic areas and problem domains

- Test innovative analytical methods and modeling approaches

- Adapt to evolving client priorities and ambiguous problem statements

Must have :

- Must have 4+ years of experience as an analytics consultant 2+ years in pharma domain

- Must have hands-on experience working with patient-level datasets (claims, EHR, lab, pharmacy data)

- Must have worked on patient journey analysis, treatment patterns, disease progression and advanced analytics

- Must have experience with SQL, Python and Predictive modelling (regression, classification, clustering)

- Must have experience combining multiple healthcare datasets and building longitudinal patient views

- Ability to translate complex analysis into actionable business/clinical insights

- HealthTech/PharmaTech/LabTech/life sciences companies

- Bachelors degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field

- Hybrid, WFH flexibility 6 days a month