USAISR Clinical Data Analyst Postgraduate Fellow

The U.S. Army Institute of Surgical Research (USAISR) is offering a postgraduate research fellowship focused on improving combat casualty care. The fellow will analyze, curate, and harmonize complex clinical and physiological data and support the development of machine learning-powered clinical decision support systems using extended reality technology.

What you'll do:

• Extracting patient data from electronic medical records (EMR), clinical registries, and research studies using different database systems
• Performing rigorous data cleaning, profiling, and quality control
• Mapping and harmonizing diverse data elements across different datasets or time periods
• Conducting exploratory and statistical data analyses to support studies requiring high-fidelity data to validate any machine learning (ML)-based decision support system
• Building reproducible data pipelines and analysis workflows using statistical programming languages (e.g., SQL, Python, or R)
• Formatting clinical data and preparing data for integration into clinical decision support system
• Documenting findings, results, and technical processes in detailed reports and presentations
• Disseminating analytical findings and research methodologies through scientific research journals, presentations, and team-wide technical demonstration

What they're looking for:

• The qualified candidate will hold a bachelor's or master's degree in Bioinformatics, Computer Science, Data Science, Probability & Statistics, Epidemiology, Public Health, or other eligible discipline
• Degree must have been received within five years of the appointment start date
• U.S. military veterans who have been honorably discharged (or who have been medically discharged because of a service-connected disability) and who received a bachelor's or master's degree within ten years of the desired start date are also eligible
• Citizenship: LPR or U.S. Citizen
• Age: Must be 18 years of age
• Programming & Scripting experience in Python, R, or other relevant programming languages
• Database queries using SQL
• Exposure to real-world patient records, clinical trials, vital signs telemetry, or trauma registries
• Familiarity with standard medical coding terminologies
• Experience building dashboards or visual summaries using tools like Tableau, Power BI, or other visualization software
• Basic proficiency with version control systems (e.g., Git / GitHub / GitLab) for tracking analytical code and data transformation pipelines

Benefits:

• Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE)
• Relocation Allowance
• Training and Travel Allowance