Computer Vision Research Scientist - Remote/Hybrid - 127814

UCSD Layoff from Career Appointment: Apply by 03/06/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 03/19/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance.

This position will work a hybrid schedule which includes a combination of working both onsite on Campus and remote.

The Department of Surgery is one of the largest departments in the School of Medicine and is comprised of 102 full-time faculty members, 220 voluntary faculty members, 20 physicians employed on MSP agreements, 25 doctors employed by the VA or other facilities, 77 accredited and 13 non-accredited trainees and 100 career staff. Activities are organized in 13 sub-specialty divisions. Annual expenditures across the Department total over $66.5M with a global research portfolio of over $19M. The missions of research, education, and patient care are intertwined and are integral to the goals of the department.

As a leader in research and patient care, the UC San Diego Department of Surgery is committed to providing the latest in expert and compassionate treatment, performing leading-edge research, and training the next generation of top surgeons and scientists. UC San Diego Health is currently ranked among America's best hospitals by U.S. News & World Report.

Join an exciting translational data science lab at the world-class UC San Diego!

The Ross Lab at UCSD is looking to recruit an outstanding data scientist with an interest in building precision health tools to enable next-generation healthcare delivery. This position provides the opportunity to work with clinicians and perform a deep dive into the clinical area of cardiovascular medicine, surgery, and predictive analytics using imaging data. Our lab is exploring ways to extract important clinical features and identify new features that can improve patient phenotyping and outcome prediction. We use imaging data that is generally underutilized in current computer vision applications. This position provides the unique opportunity to collaborate across institutions, build first-of-its-kind data sources, and understand the translational impact through collaboration with clinicians.

The research scientist will help build and curate medical image data sets and apply state-of-the-art computer vision algorithms towards the development of models to detect and/or predict cardiovascular conditions and outcomes.

The scientist will also hold develop and/or utilize algorithms to develop multi-modal models that incorporate data from different domains (e.g. clinical text, vital signs, etc)

• Six (6) years of related experience, education/training, OR a Bachelor's degree in related area plus two (2) years of related experience/training.

• Working knowledge of bioinformatics methods and data structures.

• Working knowledge of applications programming and web development. Strong coding skills with examples of work that is publicly available or can be provided upon request.

• Working knowledge of databases.

• Working project management skills.

• Working knowledge of modern biology and applicable field of research.

• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Writing/publishing peer-reviewed work and presenting work-in-progress locally and nationally.

• Ability to communicate technical information in a clear and concise manner. The applicant should be comfortable with data management, cleaning, statistical analyses, and overseeing regulatory compliance for data utilization.

• Self-motivated, able to learn quickly, meet deadlines and demonstrate problem-solving skills.

• Working knowledge of application and data security concepts.

• Master's degree or PhD in a data science related field (e.g. biomedical informatics, computer science, computational biology or statistics) with experience in using computer vision algorithms and/or multi-modal data modeling.

• Employment is subject to a criminal background check.

Pay Transparency Act

Annual Full Pay Range: $74,300 - $134,500 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $35.58 - $64.42

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.

UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team!

Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.

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UC San Diego 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, disability, age or protected veteran status.

For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20
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UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.