Data Scientist – Real World Oncology

Remote, USA • Full-time • Posted 2026-05-04

Apply analytical rigor to longitudinal patient‑level data, synthesizing business rules, methods, and client objectives with limited oversight.
Create clear, compelling materials that communicate insights from clinical data and present findings to both technical and business audiences.
Build reproducible analytical workflows and advanced algorithms in Databricks (PySpark and SQL) to prepare and analyze large‑scale healthcare datasets (EHR, medical/pharmacy claims, RWD).
Ensure accuracy and customer readiness by delivering high‑quality datasets and reports that meet exact specifications and highlight meaningful insights.
Contribute to quality and consistency through self‑review and peer review of methodologies, code, and deliverables.
Manage multiple projects in a fast‑paced environment while maintaining strong analytical and documentation standards.
Develop data visualizations and dashboards to communicate trends and enable data‑driven decision‑making for clients.

Bachelor’s / Master’s degree, with a focus in Data and Analytics, Information Sciences, Healthcare, Statistics, Computer Science or related fields strongly preferred
3+ years of experience of relevant experience
Able to work Central Time Zone hours
Strong interpersonal, written, and verbal communication skills with experience collaborating across cross‑functional teams and presenting insights to diverse audiences
Hands‑on experience analyzing large real‑world healthcare datasets (EHR/EMR, medical and pharmacy claims, labs, etc.) and translating complex findings into clear, actionable insights
At least 2 years of practical experience with Python, PySpark, and SQL in Databricks or similar cloud analytics platforms to build and deploy repeatable, production‑ready data pipelines
Skilled in data wrangling, cleansing, transformation, and preparation for final data lock, ensuring accuracy, reproducibility, and adherence to quality standards
Self‑starter who delivers high‑quality work with minimal supervision in a fast‑paced environment
Able to work independently and collaboratively while contributing positively to team goals.
Demonstrates intellectual curiosity and creativity in solving ambiguous analytical challenges