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 47 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

Ideal Candidate :

- Strong Pharma Analytics Profile

- Mandatory (Experience) : Must have 4+ years of experience as an analytics consultant 2+ years in pharma domain

- Mandatory (Skill 1) : Must have hands-on experience working with patient-level datasets (claims, EHR, lab, pharmacy data)

- Mandatory (Skill 2) : Must have worked on patient journey analysis, treatment patterns, disease progression and advanced analytics

- Mandatory (Skill 3) : Must have experience with SQL, Python and Predictive modelling (regression, classification, clustering)

- Mandatory (Skill 4) : Must have experience combining multiple healthcare datasets and building longitudinal patient views

- Mandatory (Skill 5) : Ability to translate complex analysis into actionable business/clinical insights

- Mandatory (Company) : HealthTech/PharmaTech/LabTech/life sciences companies

- Mandatory (Education) : Bachelors degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field

- Mandatory (Note 1) : Hybrid, WFH flexibility 6 days a month

- Mandatory (Note 2) : CTC is inclusive of 10% variable

- Preferred (Education) : Master's degree

- Preferred (Experience) : Experience delivering analytics in a client-facing environment