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# Data Scientist

- **Company:** McKesson
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $91,800.0 - $153,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Bioinformatics, Cloud Computing, Computer Programming, Data Visualization, Database Queries, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Prompt Engineering, Deep Learning, Electronic Medical Records, Generative AI, Git, Information Technology, Deployment Automation, Production Code, Xgboost, Health Level Seven International, Machine Learning Operations, Docker, Databricks
- **Published:** September 13, 2026
- **Apply:** https://mckesson.wd3.myworkdayjobs.com/en-US/External_Careers/job/USA-Remote/Data-Scientist_JR0152158

## About the Role

* Master's degree with 2+ years of relevant experience, or bachelor's degree with 4+ years of relevant experience, or equivalent experience.
 * Relevant experience in Data Science, Machine Learning, Analytics, Statistics, or a related field.
 * Strong experience programming with Python or R and writing complex queries using SQL.
 * Experience applying statistical techniques to analyze data and generate insights.
 * Experience creating data visualizations, dashboards, or analytical reports and developing or supporting machine learning models.

Preferred Skills/Experience

 * Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
 * Experience developing machine learning models using techniques such as NLP, deep learning, Random Forests, or Gradient Boosting.
 * Hands-on experience with Generative AI, large language models (LLMs), and prompt engineering.
 * Experience working in cloud-based analytics environments, including Azure Databricks or similar platforms.
 * Familiarity with development and deployment tools such as Git, Docker, Airflow, or MLOps frameworks.
 * Experience working with healthcare, clinical, genomic, oncology, or precision medicine data.
 * Knowledge of healthcare data standards, clinical research, EMR data, HIPAA requirements, or related healthcare domains.

## Description

* Analyze and validate healthcare, clinical, and genomic data to support research and business decisions.
 * Build, test, and deploy machine learning models that generate actionable insights.
 * Develop AI and large language model (LLM) solutions using prompt engineering techniques.
 * Perform statistical analyses and translate findings into clear recommendations.
 * Create dashboards, reports, and visualizations for technical and business audiences.
 * Partner with product, engineering, clinical, and scientific teams to solve complex data challenges.
 * Write production-ready code and support multiple analytics initiatives in a fast-paced environment.


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