Data Scientist - Patient Analytics

Datazymes Analytics; Bengaluru, Delhi; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

DataZymes is seeking a Senior Data Scientist with 4–7 years of healthcare analytics experience to join our team in Bengaluru. You will work with integrated datasets (claims, EHR, lab, pharmacy) to extract insights that drive strategic and operational decisions.

The role requires strong clinical understanding, data wrangling skills, and the ability to present complex analyses in a clear, business-focused narrative to executives and stakeholders.

Qualifications

• 4–7 years of experience in healthcare data analytics.
• Hands-on with integrated healthcare datasets (claims, EHR, lab, pharmacy).
• Ability to translate analyses into actionable business recommendations.

Responsibilities

• Perform patient-centered analyses on treatment patterns and disease progression.
• Integrate claims, EHR, lab and pharmacy data to map longitudinal patient journeys.
• Develop and validate predictive models (classification, regression, survival, clustering).
• Translate analytical findings into executive-ready presentations and dashboards.
• Communicate methodologies to technical and non-technical stakeholders.

Skills

SQL

Python

Healthcare analytics

Tools

SQL / Python tooling

Job description

We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, wed love to hear from you.

DataZymes is seeking a highly analytical and client-focused Senior Data Scientist with 4–7 years of experience in healthcare data analytics. The ideal candidate will combine deep clinical understanding, strong patient-level data expertise, and advanced analytical skills to generate insights that drive strategic and operational decisions.

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