Analytics Consultant - Patient Analytics

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.

Job Summary

The

Patient Analytics Consultant

analyzes integrated healthcare datasets (claims, EHR, lab, and pharmacy) to generate patient-level insights, develop predictive models, and deliver data-driven recommendations that support clinical and commercial decision-making.

DataZymes is seeking a highly analytical and client-focused

Patient

Analytics Consultant

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

Requirements

Education

• Bachelor’s
  degree in Data Science, Statistics, Public Health, Epidemiology,
  Biostatistics, Computer Science, or related field

• Master’s
  degree preferred

Experience

• 4–7
  years of experience in healthcare analytics, life sciences analytics, or
  consulting

• Hands-on
  experience with patient-level healthcare datasets

• Experience
  working across multiple therapeutic areas

• Experience
  delivering analytics in a client-facing environment preferred

Technical Skills

• Advanced
  SQL and Python skills

• Experience
  building and validating predictive models

Domain Expertise

• Strong
  understanding of care delivery and patient pathways

• Experience
  linking claims, EHR, lab, and pharmacy data

• Knowledge
  of longitudinal analysis and real-world evidence generation

Consulting & Communication Skills

• Ability
  to synthesize complex analyses into actionable recommendations

• Experience
  engaging cross-functional stakeholders

Personal Attributes

• Learning
  agility and intellectual curiosity

• Strong
  ownership and accountability

• Collaborative team player with strong client
  orientation