Hybrid Life Science AI/ML Research Scientist

SLAC; Palo Alto (CA); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

18+ PTO days per year

Health benefits start when you start

Tuition assistance $6000+ annually

403(b) plan

Mental health programs

Commuter transportation benefits

Job summary

Stanford University in Stanford, CA, is seeking a Basic Life Research Scientist for a 1-year fixed-term position in the Aghaeepour Lab. The role centers on interdisciplinary AI/ML research applied to clinical data, with hybrid work arrangements and collaboration across clinical and computational teams.

The successful candidate will contribute to developing and deploying machine learning methods on multimodal biomedical data, mentor trainees, and participate in manuscript preparation and

Qualifications

• Ph.D. in a quantitative field (CS, biomedical informatics, statistics, engineering).
• Experience in machine learning, deep learning, or AI applied to real-world datasets.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics).
• Strong publication record or demonstrated research productivity.
• Ability to work in interdisciplinary teams spanning clinical and computational domains.
• Experience in time series modeling, multimodal learning, or causal inference.

Responsibilities

• Contribute to and/or lead research projects involving machine learning and clinical data integration.
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets.
• Provide technical mentorship and guidance to trainees.
• Contribute to manuscript preparation, review, and scientific dissemination.
• Collaborate with clinicians, data scientists, and external partners.
• Help maintain high standards of rigor, reproducibility, and code quality.

Skills

Machine learning

Python

PyTorch

TensorFlow

Education

PhD in CS/biomedical informatics

Tools

Python

PyTorch

TensorFlow

Job description

Stanford University in Stanford, CA, is seeking a Basic Life Research Scientist for a 1-year fixed-term position in the Aghaeepour Lab. The role centers on interdisciplinary AI/ML research applied to clinical data, with hybrid work arrangements and collaboration across clinical and computational teams.

The successful candidate will contribute to developing and deploying machine learning methods on multimodal biomedical data, mentor trainees, and participate in manuscript preparation and