Data Scientist

McKesson

. Analyze and validate healthcare, clinical, and genomic data to support research and business decisions .

Posted 9/30/2026full-timeRemote • United StatesJuniorMid-Level💰 $91,800 - $153,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Machine Learning, with a strong focus on developing AI solutions and statistical analysis to drive actionable insights in healthcare and clinical settings. Proficient in programming with Python or R, SQL, and creating data visualizations to support research and patient care.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical AnalysisPython ProgrammingSQL Querying

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ModelsStatistical TechniquesData VisualizationDashboard CreationPrompt EngineeringNLPDeep LearningRandom ForestsGradient BoostingCloud-Based Analytics

Tools & Technologies

Azure DatabricksGitDockerAirflowMLOps

Certifications & Qualifications

Master's DegreePhD in Data SciencePhD in StatisticsPhD in Computer SciencePhD in Bioinformatics

Industry Keywords

Healthcare DataClinical ResearchGenomic DataOncologyPrecision MedicineEMR DataHIPAA Compliance

Tech Stack

Tools & technologies

AirflowAzureCloudDockerPythonSQL

About the role

Key responsibilities & impact

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
Deliver data-driven recommendations supporting research, clinical development, and patient care

Requirements

What you’ll need

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
Ability to write complex queries using SQL
Experience applying statistical techniques to analyze data and generate insights
Experience creating data visualizations, dashboards, or analytical reports
Experience developing or supporting machine learning models
Preferred: Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field
Preferred: Experience with NLP, deep learning, Random Forests, or Gradient Boosting
Preferred: Hands-on experience with Generative AI, LLMs, and prompt engineering
Preferred: Experience in cloud-based analytics environments, including Azure Databricks or similar platforms
Preferred: Familiarity with Git, Docker, Airflow, or MLOps frameworks
Preferred: Experience with healthcare, clinical, genomic, oncology, or precision medicine data
Preferred: Knowledge of healthcare data standards, clinical research, EMR data, or HIPAA requirements

Benefits

Comp & perks

Competitive compensation package
Annual bonus may be offered
Long-term incentive opportunities may be offered
Remote work arrangement
Minimal travel may be required