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 role 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 Analyst/Senior Analyst with 2–4 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 explicit, 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
- 2–4 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