Trainee Causal Inference Jobs in California (NOW HIRING)

Job Summary:
Stanford University’s School of Medicine is seeking a Basic Life Research Scientist to join the Aghaeepour Lab, which focuses on developing machine learning methods in clinical medicine. The role involves leading research projects, mentoring trainees, and collaborating with interdisciplinary teams to improve outcomes in acute care settings.
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
• other duties may also be assigned
Qualifications:
Required:
• Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
• Experience in machine learning, deep learning, or AI applied to real-world datasets
• Strong programming skills (e.g., Python, PyTorch, TensorFlow)
Preferred:
• 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 areas such as time series modeling, multimodal learning, or causal inference
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.