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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 SummaryOntada 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.
Key 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.
Minimum 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
Critical SkillsCommunication & 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.
Additional Preferred Skills- Experience in healthcare or life sciences consulting or analytics roles within biopharma.
- Oncology experience.
- Experience within EMR, CRO, or transaction-processing environments.
Work Authorization RequirementAt this time, we can only consider applicants who are legally authorized to work in the United States and who do not require current or future sponsorship for employment visas.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position$109,900 - $183,100
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McKesson is an Equal Opportunity EmployerMcKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
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