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UC San Francisco - Biomechanics and Radiology Staff Research Associate position

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  • UC San Francisco - Biomechanics and Radiology Staff Research Associate position

    Staff Research Associate II



    Full Time


    Job Summary

    The Biomechanics and Musculoskeletal Imaging Lab (BMIL) is dedicated to the investigation of biomechanics associated with lower extremity orthopedic pathology. We use 3D motion analysis, quantitative MRI, multi modal dynamometry and EMG to understand predictors of disease progression. The goal of this lab is to identify and evaluate potential prevention and rehabilitation tools for the treatment of patients with lower extremity orthopedic pathology.

    Subjects will be recruited for a longitudinal study (covering 5-8 year follow up) from our existing cohort and we will use novel, fully automated and translational methods to measure MRI-based measures of cartilage degeneration and determine the role of gait biomechanics on disease progression.

    A National Institutes of Health (NIH)-funded clinical research study on hip and knee osteoarthritis requires support from a Staff Research Associate II to carry out functions of data acquisition, processing, and dissemination.

    Department Description

    The Department of Radiology & Biomedical Imaging at UCSF combines clinical excellence, trailblazing research, and outstanding education in a leading academic health sciences institution. Our faculty includes some of the foremost names in diagnostic and interventional radiology today.

    The Department of Radiology and Biomedical Imaging provides state-of-the-art clinical imaging for patients. In addition, it conducts world-class scientific research to develop the next generation of clinical imaging tools and techniques to fight cancer and other life-threatening medical conditions globally.

    Required Qualifications

    • BA/BS degree in a related science and 1 or more years of recent, directly related work experience following degree completion, utilizing the techniques or methods required by the position; or an equivalent combination of education and experience
    • Experience in VICON motion capture
    • Experience in Visual 3D software
    • Experience with human subjects’ research
    • Experience with functional testing of human subjects
    • Proficiency with computer programming, including MATLAB, Python, and R

    Preferred Qualifications


    About UCSF

    The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

    Pride Values

    UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

    In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at

    Join us to find a rewarding career contributing to improving healthcare worldwide.

    Equal Employment Opportunity

    The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information