Remote Data Scientist, Genomics & AI for Precision Medicine

McKesson; United States; Remote; USD 92,000 - 153,000; Full time

Job summary

McKesson is seeking a Data Scientist to turn healthcare, genomic, and clinical data into actionable insights, using machine learning, statistics, and generative AI. You will collaborate with product managers, engineers, clinicians, and scientists to advance precision medicine solutions used by leading healthcare organizations.

The role requires a Master’s with 2+ years (or a Bachelor’s with 4+ years) of relevant experience, strong Python or R skills, SQL, and cloud/ visualization capabilities.

Qualifications

• Master’s degree with 2+ years of relevant experience, or bachelor’s degree with 4+ years of relevant experience.
• Experience in Data Science, Machine Learning, Analytics, Statistics, or related field.
• Strong experience programming with Python or R and SQL querying.
• Experience applying statistical techniques and developing ML models with dashboards.

Responsibilities

• 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/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.
• Collaborate with product, engineering, clinical, and scientific teams to solve complex data challenges.
• Write production-ready code and support analytics initiatives in a fast-paced environment.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

NLP

Generative AI

Education

Master’s degree

Bachelor’s degree

PhD preferred

Tools

Git

Docker

Airflow

MLOps

Job description

McKesson is seeking a Data Scientist to turn healthcare, genomic, and clinical data into actionable insights, using machine learning, statistics, and generative AI. You will collaborate with product managers, engineers, clinicians, and scientists to advance precision medicine solutions used by leading healthcare organizations.

The role requires a Master’s with 2+ years (or a Bachelor’s with 4+ years) of relevant experience, strong Python or R skills, SQL, and cloud/ visualization capabilities.