Senior Data Scientist - Healthcare Analytics

About Us:

We empower the Pharma industry with our innovative products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That is why DataZymes.

We are focused on creating the world's best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.

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, we would 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.

Patient-Level Data Integration & Journey Mapping:

- Integrate and analyze claims, EHR, lab, and pharmacy datasets 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).

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.

Skills

Data Science, SQL, Python, Data Analytics, Statistical Modeling, Data Visualization, Data Management, Data Scientist, Predictive Modeling