Basic Life Research Scientist (1 Year Fixed Term)
Stanford University
About this position
Position Description
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  Minimum Requirements: 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)  Additional Desired Qualifications: 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  Theexpectedpayrangeforthispositionis$80,000to$100,000perannum.  Stanford University has provideda pay range representing its goodfaith estimate of whattheuniversity reasonably expects to pay for the position. The pay offered to the selected candidate will be determined basedonfactorsincluding(butnotlimitedto)theexperienceandqualificationsoftheselectedcandidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.   At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.  Stanford is an equal employment opportunity and affirmative action employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Additional Information Schedule: Full-time Job Code: 5574 Employee Status: Fixed-Term Grade: R99 Requisition ID: 108929 Work Arrangement : Hybrid Eligible
Qualifications
Minimum Requirements: 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) Additional Desired Qualifications: 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 The expected pay range for this position is $80,000 to $100,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.
Job Location
🔍 School of Medicine, Stanford, California, United States