Healthcare Data Scientist

We are looking for a Healthcare Data Scientist to transform complex data into actionable insights that support public health and safety. This role is a blend of advanced analytics, mentorship, and application development, requiring a candidate who can build tools that operationalize data science products.

Work Arrangement: 100% Remote

Location: Must currently reside in Indiana

Interview Process: Webcam Only

Shift: EST

Core Responsibilities

• Application Development: Build and deploy interactive web applications and tools for internal stakeholders.
• Advanced Analytics: Use R, Python, and SQL to perform complex statistical modeling, machine learning, and data mining.
• Mentorship: Act as a Subject Matter Expert (SME), guiding junior staff and external stakeholders on data best practices.
• Data Engineering: Collaborate on data architecture, ETL procedures, and database optimization.
• Strategic Insight: Translate business challenges into data solutions and create rapid prototypes (MVPs) for end-users.

Required Technical Skills

• App Frameworks: 2 years of experience with Shiny, Dash, Flask, or Streamlit.
• Languages: Proficiency in R, Python, and SQL for data manipulation and automation.
• Data Mastery: Strong experience in data cleansing, transforming, and managing relational/dimensional databases.
• Statistics & ML: Broad knowledge of regression, statistical testing, clustering, and decision tree learning.
• Pipelines: Experience connecting to backend data pipelines and deploying lightweight applications.

Education & Experience

• Bachelor's Degree (Analytics, CS, Stats, or Math) 2 years of experience OR
• Master's Degree in a related field OR
• 4 years of professional experience in high-impact data science.

Bonus Skills (Highly Desired)

• Geospatial data and Geocoding.
• Experience with Docker, Kubernetes, or Neo4j.
• Experience leading workshops or training sessions for a user community.