Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate and authenticate healthcare, clinical, and genomic data to facilitate research and business decisions.

• Design, test, and implement machine learning models that provide actionable insights.

• Create AI and large language model solutions utilizing prompt engineering techniques.

• Conduct statistical analyses and convert findings into clear recommendations.

• Develop dashboards, reports, and visualizations tailored for both technical and business stakeholders.

• Collaborate with product, engineering, clinical, and scientific teams to address complex data challenges.

• Produce production-ready code and assist multiple analytics initiatives in a dynamic environment.

• Work closely with product managers, engineers, clinicians, and scientists to enhance precision medicine solutions.

⛳️ Requirements

• Master’s degree with 2+ years of pertinent experience, or a bachelor's degree with 4+ years of relevant experience, or equivalent experience.

• Demonstrated experience in Data Science, Machine Learning, Analytics, Statistics, or a related discipline.

• Proficient in programming with Python or R.

• Ability to formulate complex queries using SQL.

• Proven experience applying statistical techniques to analyze data and derive insights.

• Experience in creating data visualizations, dashboards, or analytical reports.

• Background in developing or supporting machine learning models.

• Preferred: Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or another quantitative field.

• Preferred: Familiarity with NLP, deep learning, Random Forests, or Gradient Boosting techniques.

• Preferred: Practical experience with Generative AI, LLMs, and prompt engineering.

• Preferred: Experience in cloud-based analytics environments, such as Azure Databricks or similar platforms.

• Preferred: Knowledge of Git, Docker, Airflow, or MLOps frameworks.

• Preferred: Experience with healthcare, clinical, genomic, oncology, or precision medicine data.

• Preferred: Understanding of healthcare data standards, clinical research, EMR data, or HIPAA regulations.

🏝️ Benefits

• Competitive compensation package.

• Annual bonus may be offered.

• Long-term incentive opportunities may be provided.

• Benefits through McKesson’s Total Rewards.

• Remote work arrangement.

• Minimal travel may be necessary.