Healthcare Data Scientist, Analytics & Insights

RXinsider LTD.

New York (NY)

On-site

USD 120,000 - 165,000

Full time

14 days+
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Job summary

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs. The Data Scientist, ITA will be a core analytical contributor within a small, high‑performance team, owning the design and execution of analytical models and client-facing outputs.

The role requires SQL and Python and familiarity with statistics; experience in pharma or PBM is preferred to understand how hub data ties to access and reimbursement landscapes.

Qualifications

  • 5 years of healthcare analytics experience in pharma, PBM, or insurer.
  • Strong SQL skills and experience with cloud data warehouses (Snowflake preferred).
  • Python or R experience; Python preferred (pandas, numpy, scipy, scikit-learn).
  • Statistical methods knowledge: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and A/B testing.

Responsibilities

  • Design and execute analyses for ITA client engagements across six KPI families.
  • Develop analytical models ensuring reproducible methodology and statistical rigor.
  • Create cohort analyses, survival curves, regression models and distribution-based metrics.
  • Produce client-ready analytical exhibits and narratives for manufacturers.

Skills

SQL
Python
R
Statistics
Data storytelling
Communication

Education

Bachelor's degree in quantitative field
Advanced degree a plus

Tools

Snowflake
Power BI
ThoughtSpot
dbt

Job description

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs. The Data Scientist, ITA will be a core analytical contributor within a small, high‑performance team, owning the design and execution of analytical models and client-facing outputs.

The role requires SQL and Python and familiarity with statistics; experience in pharma or PBM is preferred to understand how hub data ties to access and reimbursement landscapes.

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