Biomedical Data Scientist - AI-Driven Health Research

Stanford University School of Medicine; Palo Alto (CA); On-site; USD 90,000 - 135,000; Full time

Benefits offered by this job

Tuition options

Onsite conferences

Work-life policies

Sustainable programs

Job summary

Stanford University School of Medicine is seeking a Research Data Analyst 2 - Biomedical Data Science to build and maintain data infrastructure that harmonizes multimodal clinical research data across studies, enabling AI-enabled analyses in allergy and immunology. The position emphasizes modern data science, biomedical informatics, and translational research collaboration.

The successful candidate will work with leading scientists to create standardized, research-ready datasets that accelerate

Qualifications

• Bachelor's degree and three years of relevant experience.
• Experience in a quantitative discipline such as statistics or engineering.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

Responsibilities

• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Assist with the design of data collection instruments and statistical analysis plans under supervision.
• Prioritize and extract data from notes, surveys, medical reports, and laboratory data.
• Design and customize reports based upon data in the database.
• Oversee and monitor regulatory compliance for utilization of the data.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Lead efforts to harmonize data across multiple studies into standardized datasets.

Skills

Analytical skills

Writing skills

Prioritize workload

Education

Bachelor's degree

Tools

MS Office

Job description

Stanford University School of Medicine is seeking a Research Data Analyst 2 - Biomedical Data Science to build and maintain data infrastructure that harmonizes multimodal clinical research data across studies, enabling AI-enabled analyses in allergy and immunology. The position emphasizes modern data science, biomedical informatics, and translational research collaboration.

The successful candidate will work with leading scientists to create standardized, research-ready datasets that accelerate