Description

Researcher Position Summary:

We are inviting applications for a full-time researcher to join the Minimally Invasive and Bariatric Surgery Research Lab in the Department of Surgery at Stanford University School of Medicine. Our lab is distinguished by its collaborative environment, allowing the researcher to work with multiple Principal investigators from different specialties including surgery but also obesity medicine, lifestyle medicine, endocrinology and others. We study the impact of novel surgical and medical innovations on clinical care. In addition to our internal collaborations, our group actively partners with other research labs across the Stanford campus as well as industry partners to enhance the scope and impact of our studies. 

Current research themes include:

• The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients
• Computer vision analysis of surgical videos to improve intraoperative decision-making and outcomes
• Investigating disparities in access, outcomes, and quality of care in bariatric surgery across diverse populations
• Investigating novel minimally invasive techniques, including advanced endoscopic procedures, to improve patient outcomes and expand treatment options 
• We seek candidates who are passionate about advancing patient care through innovative research and multidisciplinary collaboration.

Researcher Position Description:

The successful applicant must be self-driven and highly motivated, demonstrating initiative in pursuing research goals and contributing to a dynamic, collaborative environment. They will contribute to ongoing and new research projects focused on improving clinical outcomes in minimally invasive and bariatric surgery.

Responsibilities may include:

• Designing and conducting studies on the clinical impact of GLP-1 and other metabolic therapies
• Developing and applying computer vision and machine learning techniques to analyze surgical videos and clinical data
• Collecting and analyzing data to identify and address disparities in bariatric surgery
• Collaborating with a diverse team of clinicians, data scientists, and engineers
• Presenting research findings at national conferences and contributing to manuscript preparation
• Engaging with academic and industry partners to expand research opportunities

Requirements

Required Qualifications:

• Doctoral degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery)
• Experience in clinical research, data analysis, or machine learning applications in healthcare
• Strong problem-solving skills and ability to work independently and collaboratively
• Excellent communication skills and fluency in spoken and written English
• Demonstrated record of scholarly productivity (e.g., publications, presentations)
• Commitment to advancing equity and innovation in surgical care
• Demonstrated self-drive and initiative, with a proactive approach to identifying and pursuing research opportunities

Required Application Materials:

1. Cover letter describing research interests and background
2. Current CV with publication list
3. Contact information for three references
4. One letter of recommendation from program director or prior lab/research director