Data Scientist - Real World Oncology

McKesson

1d

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job Description Join the growing Ontada team, backed by a Fortune 8 company, and help transform oncology care. Ontada develops technologies that support oncology providers in delivering evidence‑based, personalized care and provides insights that help biopharma accelerate drug development, optimize clinical trials, support treatment decisions, and guide commercial strategies. We are seeking a self‑motivated, collaborative, and detail‑oriented Data Scientist to support our Data Science & Analytics team in delivering high‑quality data and insights to Life Sciences customers. Position Summary Ontada leverages deep expertise in data science, analytics, and real‑world clinical data to deliver clinical data products and insights across the drug development and commercialization lifecycle. Our work helps Life Science partners understand markets, demonstrate value, inform decisions, and evaluate real‑world treatment effectiveness. The Data Scientist will work with complex business questions using our in‑house EMR/EHR data. Responsibilities include data preparation, analysis, quality assurance, and maintaining analytical tools and pipelines. This role involves acquiring and validating raw data, performing analyses, contributing to tooling improvements, and producing both mock‑up and production‑ready deliverables. Success requires strong analytical skills, experience with longitudinal patient‑level data, and excellent communication abilities.

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
• Communication & Stakeholder Engagement: Strong interpersonal, written, and verbal communication skills with experience collaborating across cross‑functional teams and presenting insights to diverse audiences. Able to clearly explain complex data issues. Experience gathering and documenting requirements is a plus.
• Healthcare Analytics Expertise (3+ years): 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. Solid understanding of treatment pathways, patient journeys, and real‑world evidence (RWE) analysis.
• Advanced Programming: 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. SAS experience is a plus.
• Data Preparation & Quality Management: Skilled in data wrangling, cleansing, transformation, and preparation for final data lock, ensuring accuracy, reproducibility, and adherence to quality standards. Strong grasp of real‑world data nuances and limitations.
• Independent & Proactive Work Style: Self‑starter who delivers high‑quality work with minimal supervision in a fast‑paced environment.
• Collaboration & Team Effectiveness: Able to work independently and collaboratively while contributing positively to team goals.
• Curiosity & Problem Solving: Demonstrates intellectual curiosity and creativity in solving ambiguous analytical challenges.
• Precision & Attention to Detail: Strong commitment to analytical accuracy, documentation, and reproducibility.
• Continuous Learning: Motivated to stay current with emerging analytical methods, tools, and industry trends.
• Core Productivity Tools: Proficient in Microsoft Word, Excel, and PowerPoint for documentation and presentations.

Nice To Haves

• Experience in healthcare or life sciences consulting or analytics roles within biopharma.
• Oncology experience.
• Experience within EMR, CRO, or transaction‑processing environments.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees