USADA is seeking to strengthen its anti-doping program and support major international competitions such as the Olympic and Paralympic Games by leveraging data analytics to drive real-time solutions and risk assessment strategies.
Requirements
- Minimum Bachelor's Degree in the life sciences (chemistry, physiology, molecular biology), data or forensic science and/or statistics
- Demonstrated work experience with data analytics on real-world data sets
- Programming knowledge in Python, R, Matlab and other programming languages
- Knowledge of and demonstrated experience with data visualization and reporting solutions (Power BI and others)
- Advanced proficiency in MS Programs (Word, Teams, Excel, Outlook, etc.)
- Ability to analyze and interpret large data sets using statistical software
- Experience working within Azure Cosmos DB and AWS cloud environments and managing data flows
Responsibilities
- Lead USADA’s data analytics and reporting strategy, delivering data-driven solutions, intuitive reporting, and cross-functional project management to support deterrence and detection, target testing and real-time risk analysis strategies.
- Bridge IT and business needs by developing robust, compliant infrastructure, tailored digital solutions, and optimized data flows to support analytical and operational priorities.
- Direct product development, data pipelines, models, automated processes, and ensure maintenance of analytics resources.
- Apply advanced statistical techniques such as data mining, predictive modeling, machine learning, and AI to identify patterns, trends, and correlations in large, structured datasets gathered through athlete performance, biological data or other relevant metrics, generating actionable outcomes for anti-doping strategies.
- Design, build, and oversee dashboards, reports, validation of data, and visualization tools to provide timely insights and empower decision-making.
- Identify, evaluate and maintain the most robust and informative data sets (performance metrics, etc...) to inform meaningful risk assessment strategies.
- Maintain the Declaration Review Tool to assist the Drug Reference team with declaration reviews.
Other
- Minimum Bachelor's Degree in the life sciences (chemistry, physiology, molecular biology), data or forensic science and/or statistics
- Ability to work with various levels of management in a fast-paced work environment
- Ability to clearly communicate data analytics outcomes to all levels of staff and interact effectively with internal staff and external stakeholders
- Ability to multitask and to work accurately under pressure
- Excellent organizational skills and attention to detail
