Data Scientist

Data Scientist JOB TITLE: Data Scientist DIVISION/DEPARTMENT: Data Scientist LOCATION: Remote, US REPORTS TO: Principal Consultant FLSA STATUS:1099 Independent Contractor EXPECTED DURATION: February 1, 2026 to November 1, 2026 Objective The Data Scientist will apply statistical methods, programming skills, and domain knowledge to extract actionable insights from complex datasets. 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. Assist in creating an opioid-approved research data model for the state of Florida. Responsibilities include data structuring and cleaning, supporting predictive model development, and building visualization tools using R Shiny. Key Responsibilities The Data Scientist will: Assist Lead Data Scientist with data structuring and cleaning 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. Education & Certifications 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. Knowledge & Experience Proficiency in R and R Shiny; experience with GitHub and CI/CD principles. Familiarity with Microsoft Azure services and strong database management skills. Understanding Bayesian modeling, machine learning, and AI methodologies. Experience in a college or university context required; public health or epidemiological data experience preferred. Skills & Abilities 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. Compensation & work arrangement Pay Structure: 1099 Independent Contractor Payment Basis: Hourly, paid monthly Work Arrangement: Fully remote; must be available for meetings 8:00 AM – 5:00 PM ET, Monday–Friday. Requiring approximately 20-30 hours per week Acknowledgement Candidates must provide a detailed summary of past relevant projects and a writing sample demonstrating ability to communicate technical results clearly. This remote Data Scientist role supports a Lead Data Scientist in extracting insights from complex datasets, specifically assisting in creating an opioid-approved research data model for Florida. Key responsibilities include data structuring, cleaning, supporting predictive model development, and building visualization tools using R Shiny. The role requires collaboration on model documentation, ensuring data security, and interpreting results for stakeholders. Candidates should possess a Master’s degree (or equivalent experience) in a quantitative field, proficiency in R and R Shiny, and familiarity with Microsoft Azure services. Experience in a university setting and with public health or epidemiological data is preferred. Strong analytical, problem-solving, and communication skills are essential, along with the ability to work independently and meet deadlines. A detailed summary of past projects and a writing sample are required for consideration.