Data Scientist

This is a supportive role working closely with a PhD-level Lead Data Scientist to assist with all elements of the data lifecycle—from structuring and analysis to model development and visualization tool creation.

About the Role

Assist in creating an opioid-approved research data model for the state of Florida.

Responsibilities

• Assist Lead Data Scientist with data structuring and cleaning of complex health datasets.
• Support data analysis and predictive modeling using Bayesian methods, Random Forest, etc.
• Develop and maintain data visualization tools using R Shiny for stakeholder consumption.
• Collaborate on model documentation and interpretation of results.
• Ensure compliance with data security and confidentiality protocols.

Qualifications

• Master’s degree or higher in a quantitative field (e.g., Statistics, Data Science) or equivalent experience.
• Must pass CITI certification and other required trainings for handling sensitive health data.

Skills

Required

• Proficiency in R and R Shiny; experience with GitHub and CI/CD principles.
• Familiarity with Microsoft Azure services and strong database management skills.
• Understanding of Bayesian modeling, machine learning, and AI methodologies.
• Experience in a collegiate or university context required; public health or epidemiological data experience preferred.

Preferred

• Strong analytical and problem-solving skills.
• Ability to communicate technical results clearly in writing.
• Attention to detail and adherence to open science frameworks.
• Ability to work independently and meet deadlines in a remote setting.

Pay

Pay Structure: 1099 Independent Contractor
Payment Basis: Hourly, paid monthly

Schedule

Fully remote; must be available for meetings 8:00 AM – 5:00 PM ET, Monday–Friday.

Candidates must provide a detailed summary of past relevant projects and a writing sample demonstrating ability to communicate technical results clearly.