The Division of Medical Physics in the Department of Radiation Oncology is seeking a Physics Science Research Associate (PSRA) to perform basic functions and activities in research studies for the lab of Dr. Ruijiang Li. The PSRA will design and plan experiments for training advanced Artificial Intelligence (AI) models for precision oncology. The PSRA will work under the direction and supervision of their faculty. The initial term will be one year.
In this role you will:
- Partner with faculty in support of students to teach/demonstrate processes of experiments and the safe operation of equipment.
- Manage lab safety to protect personnel and environment. Develop the setup and operational procedures of lab equipment, using knowledge of chemicals and other hazards to minimize the likelihood of chemical exposure and/or other hazards. Liaison with EH&S to request services and support for lab operations.
- Analyze and interpret research data to recognize irregularities and invalid results. Develop statistical models allowing for integration and display of data. Make recommendations based on results.
- Assist in preparation of papers for publication and scientific and program reporting by providing data in support of research.
- Perform technical procedures, such as running and calibrating of equipment, to gather data and optimize outcome of results in support of a research project.
- Modify research protocols and procedures based on new learnings from literature review and attendance at scientific conferences.
- Train personnel to ensure safe operation of lab.
Desired Qualifications:
- Bachelor's or Master's degree in a life sciences field (Biology, Molecular/Cell Biology, Bioinformatics, Computational Biology, or related discipline).
- 1-2 years of research experience in oncology, tumor biology, or the tumor microenvironment.
- Practical experience with spatial biology techniques (e.g., multiplexed imaging platforms, Visium/Xenium, IHC/IF) or a strong willingness to learn.
- Familiarity with image analysis and/or single-cell/spatial data analysis workflows.
- Working knowledge of, or strong interest in, applying AI/ML methods to biological problems — exposure to foundation models, LLM-based agents, or "AI co-scientist" tools is a plus.
- Comfort with basic scripting/data analysis (Python or R) for processing experimental and imaging data
- Strong written and verbal communication skills, with the ability to synthesize literature and experimental results into clear summaries.
- Demonstrated ability to work cross-functionally with computational/ML scientists, wet-lab researchers, and clinical collaborators.
Physical Requirements*:
- Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
- Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
- Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
- Must have correctible vision to perform duties of the job.
- Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
- Ability to lift heavy objects weighing up to 50 pounds.
- Ability to work in a dusty, dirty, and odorous environment.
* - 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 his or her job
Working Conditions:
- May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise>80dB TWA, chemicals, asbestos and heavy metals. May work in confined spaces; work at heights and temperature extremes.
- May work extended or unusual work hours based on research and project requirements.
Work Standards:
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Core Duties:
- Participate in the planning and approach to experiments in support of research projects in the lab and/or field based on knowledge of scientific theory.
- Conduct basic experiments, under guidance; maintain detailed records of experiments and outcomes.
- Apply the theories and methods of a physical science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researchers.
- Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.
- Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
- Assist with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.
- May assist with orientation and training of new staff or students on lab procedures or techniques.
Minimum Education and Experience
Bachelors' degree in a related scientific field, or combination of education and relevant experience.
Knowledge, Skills and Abilities:
- General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
- Demonstrated ability to apply theoretical knowledge of scientific principles to problem solve work.
- Ability to maintain detailed records of experiments and outcomes.
- General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
- Ability to work under deadlines with general guidance.
- Excellent organizational skills and demonstrated ability to accurately complete detailed work.
- Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff.