Basic Life Research Scientist (1 Year Fixed Term)

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

Benefits offered by this job

PTO

Tuition assistance

Health benefits

Hybrid work model

Job summary

Stanford University’s Department of Anesthesiology, Perioperative and Pain Medicine seeks a Basic Life Research Scientist for a 1-year fixed-term role in a AI/ML research lab. You will develop and deploy machine learning models on multimodal biomedical data, mentor trainees, and contribute to manuscripts in collaboration with clinicians and computational scientists.

The role emphasizes rigorous, reproducible research in operating rooms, ICUs, and related clinical settings, with hybrid work at

Qualifications

• PhD in a quantitative field with strong ML/AI background.
• Experience applying ML/AI to real-world clinical datasets is required.
• Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow).

Responsibilities

• Contribute to and/or lead research projects involving ML and clinical data integration.
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets.
• Mentor trainees and contribute to manuscript preparation and dissemination.

Skills

PhD in CS

ML/AI experience

Python/PyTorch/TensorFlow

Education

PhD in a quantitative field

Tools

Python

PyTorch

TensorFlow

Job description

Basic Life Research Scientist (1 Year Fixed Term)

Stanford, CA, United States (Hybrid)

Job Description

The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.

The Aghaeepour Lab in the Department of Anesthesiology, Perioperative and Pain Medicine is seeking a Basic Life Research Scientist. The Basic Life Research Scientist will join an interdisciplinary AI/ML research lab focused on developing and deploying machine learning methods in clinical medicine. The successful candidate will contribute to research projects involving machine learning and multimodal biomedical data; provide technical input and mentorship to trainees; contribute to manuscript development; and collaborate with clinical and computational teams.

The Aghaeepour Lab develops machine learning methods to integrate multimodal biomedical data—including electronic health records, physiological monitoring, and omics data—to improve outcomes in acute care settings such as the operating room, ICU, and NICU.

At Stanford University School of Medicine, the work we do touches the lives of those today and tomorrow. Through education, research, and health care, the School of Medicine improves health through leadership, diversity, collaborative discoveries, and innovation in health care. Whether working in departments with faculty, or in units that support the school, our staff are a part of teams that propel us on our journey toward the future of medicine and Precision Health.

Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers.

The Department of Anesthesiology are committed to diversity, equity, and inclusion for its faculty, staff, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department.

Core Duties

• 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

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. TheCardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailedinformation on Stanford’s extensive range of benefits and rewards offered to employees. Specifics aboutthe 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.

• Fixed Term Y
• Stanford Schools and Units School of Medicine
• Full time or Part time Full Time
• Regular or Temporary Regular
• Posting Date 06/22/2026, 06:31 PM
• Grade R99
• Job Identification 108929

Benefits that support you, and your future

18+ PTO days per year

Health benefits start when you start

Flexible work options

$6000+ annual tuition and training assistance

403(b) plan

Mental health and wellness programs

Free and discounted commuter transportation

Applies to regular full-time positions.

Notice to Applicants

Notice to Applicants

The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job.

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 University provides job pay ranges representing its good faith estimate of what the university reasonably expects to pay for a particular job. The specific pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate, including but not limited to geographic work location, relevant knowledge, skills and abilities, relevant education, years of relevant experience, depth and breadth of relevant experience, and performance; further including but not limited to other business and organization needs such as the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the university, school/ unit, department, as well as job reporting relationships.

Why work at Stanford

World-changing work in a culture of continuous learning

An inspiring community that values collaboration

High-quality health and wellness benefits that put you and your family first

Access to world-class education and career development, with tuition reimbursement, training assistance, and more