Data Scientist – Real World Oncology

Job Description: • 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. Requirements: • 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 Benefits: • Competitive compensation package • Annual bonus or long-term incentive opportunities Apply tot his job