Senior Data Scientist - Patient Analytics

This role requires hands-on experience with integrated
healthcare datasets (claims, EHR, lab, pharmacy) and the ability to translate
complex analyses into clear, actionable business recommendations

Clinical & Therapeutic Analytics:

• Apply strong understanding
  of healthcare delivery models and patient care pathways
  
• Conduct patient centric
  analysis like treatment pattern, line-of-therapy, and disease progression
  analyses etc.
  

Patient-Level Data Integration & Journey Mapping

• Integrate and analyze
  claims, EHR, lab, and pharmacy datasets etc to develop longitudinal
  patient journeys 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