Computational & Data Science Researcher

Cardiovascular Research Inst

Full Time

69523BR

Job Summary

Christoph Lab seeks to hire a Computational & Data Science Researcher to carry out work on a federally funded National Institute of Health (NIH) grant exploring the possibility to use artificial intelligence to predict cardiac arrhythmia mechanisms using high-speed ultrasound. This work is primarily computational with very little (<10%) work in the wetlab.

Department Description

The primary mission of the Cardiovascular Research Institute, the largest organized research unit on the San Francisco campus, is to promote fundamental and clinical research on the cardiovascular and pulmonary respiratory systems and to provide opportunities for postdoctoral training in these fields. With over 200 faculty, staff, and postdoctoral fellows, the CVRI supports faculty from a variety of departments (Medicine, Biochemistry, Biophysics, Lab Medicine, Pediatrics, Anatomy, Anesthesia, Pharmaceutical Chemistry, Physiology, Cellular and Molecular Pharmacology). The total extramural funding is $34 million annually (direct and indirect costs), with $1M in indirect cost return, and $561K in State funds. Assets include $38 million in endowment income and gifts, $3M in clinical reserves, and $5.8M in opportunity funds.

Required Qualifications

• Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
• Minimum 1 year of related experience
• Working knowledge of HPC / Data Science / CI / computer vision
• Working knowledge of applications programming and web development, databases and data systems, statistical methods and tools, and modern biology and applicable field of research
• Ability to manage multiple assignments through prioritizing tasks and managing time
• Self-motivated and works independently and as part of a team

Preferred Qualifications

• Master’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred
• Coursework or a degree in biological sciences preferred
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization, and to iteratively improve data science methodologies working with biomedical domain experts
• Knowledge of complex systems and nonlinear physics

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 diversity.ucsf.edu

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.

Job Code and Payroll Title

004270 CMPTL AND DATA SCI RSCH SPEC 2

Job Category

Nursing – Clinical Research

Bargaining Unit

99 – Policy-Covered (No Bargaining Unit)

Additional Shift Details

Monday-Friday, 8AM – 5PM, 40 hours per week