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DataZymes Analytics Pvt. Ltd.

Data Scientist - Patient Analytics

DataZymes Analytics Pvt. Ltd. Bangalore North, Karnataka, India

Business Consulting and Services · 51-200 employees

May 21
data-scientist Senior (5-10 yrs) Full-time India
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About the role

The Senior Data Scientist will integrate and analyze complex healthcare datasets to map patient journeys and define clinical cohorts. They will also develop predictive models and translate analytical findings into actionable business insights for stakeholders.

What they look for

Healthcare Analytics Patient-level Data SQL Python Predictive Modeling Data Integration Claims Data EHR Pharmacy Data Clinical Analytics Data Visualization Statistical Modeling Classification Regression Survival Analysis Clustering

Requirements

Candidates must have 4–7 years of experience in healthcare data analytics with proficiency in SQL and Python. Strong expertise in working with integrated healthcare datasets like claims, EHR, and pharmacy data is required.

Full 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, we’d 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

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