Biomedical Data Scientist: AI‑Driven Research Data Architect

Stanford University; Palo Alto (CA); On-site; USD 95,000 - 130,000; Full time

Job summary

Stanford University’s Sean N. Parker Center for Allergy and Asthma Research seeks a Research Data Analyst 2 - Biomedical Data Science to lead development of research data infrastructure, harmonizing multimodal clinical data across studies, and applying AI methods to create standardized, research-ready datasets.

You will work with world-class scientists to accelerate discovery in allergy and immunology, collaborating across disciplines to enable translational research and broader data-driven

Qualifications

• Bachelor's degree plus three years of relevant experience.
• Proficiency with MS Office and analytical tools.
• Strong writing and analytical abilities; ability to prioritize workload.

Responsibilities

• Create complex charts and databases; perform statistical analyses; develop graphs and tables for publication and presentation.
• Assist with designing data collection instruments and analysis plans under supervision.
• Prioritize and extract data from notes, surveys, medical reports, and lab data; maintain accuracy and completeness.
• Design and customize reports based on data; monitor regulatory compliance for data use.
• Collaborate to harmonize clinical, laboratory, genomic, biospecimen, imaging, and patient-reported data across studies.

Skills

MS Office

Analytical skills

Excellent writing

Prioritization

Education

Bachelor's degree

Job description

Stanford University’s Sean N. Parker Center for Allergy and Asthma Research seeks a Research Data Analyst 2 - Biomedical Data Science to lead development of research data infrastructure, harmonizing multimodal clinical data across studies, and applying AI methods to create standardized, research-ready datasets.

You will work with world-class scientists to accelerate discovery in allergy and immunology, collaborating across disciplines to enable translational research and broader data-driven