Medical Imaging Research Data Scientist/Programmer
Epidemiology & Biostatistics
Uses professional software engineering and data science concepts, methodologies, and research findings to support projects of moderate scope and complexity. Applies computer and inferential science principles to resolve a variety of analysis and research issues. Performs programming, reflecting an understanding of computer science and AI principles. Works on assignments of moderate scope where data studies and inquiry require a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.
The Department of Epidemiology & Biostatistics at UCSF is hiring a full time Medical Imaging programmer to work on large scale epidemiological studies in collaboration with the Center for Intelligent Imaging (Ci2) 3DLab within the Department of Radiology & Biomedical Imaging to develop deep learning models for combining information from MRI and dual energy CT (DECT) scans to examine risk factors for the development or worsening of osteoarthritis, a disease which limits the activity of more than 242 million people around the world.
The programmer will work closely with senior group members in both the Department of Epidemiology & Biostatistics and the Department of Radiology & Bioengineering to develop and test deep learning algorithms to enable automated analysis of changes on MRI scans and when fused with DECT scans of the same anatomy develop prediction models for the development or worsening of osteoarthritis. This will involve images as part of the MOST Study (Multicenter Osteoarthritis Study - a nationwide research study or over 2000 people, sponsored by the National Institutes of Health / National Institute on Aging).
Key responsibilities will involve (1) optimizing existing pipelines to handle images collected for this study, (2) organizing and processing multimodal imaging data through pipelines, (3) performing data quality checks and resolving problems that occur, (4) perform quality checks on newly obtained images as they are acquired at study clinics, (5) assist in the development of new research plans and analyses, including writing research papers on the deep learning models developed. The individual appointed to this post will have opportunities to contribute to an exciting research program. Although not a job requirement, the programmer would have opportunities to develop their own research projects under the supervision of academic colleagues.
The final salary and offer components are subject to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (ucop.edu)Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
The Department of Epidemiology and Biostatistics (DEB), housed within the UCSF School of Medicine, has a vision to advance discoveries and insights into the distribution, determinants and outcomes of disease that will drive improvements in population health worldwide. The DEB has three missions: 1) education, 2) science, and 3) research. Its educational mission is to train students in epidemiologic and biostatistical methods for studying disease etiology and prevention, evaluating tests and treatments, and using evidence-based approaches in clinical practice and population health. The scientific mission of the DEB is to perform outstanding basic, clinical and population health research along a spectrum from molecules to society and to develop tools for the translation of knowledge that will improve clinical practice and population health and ensure optimal use of resources. The clinical mission of the Department is to support the practice of public health and preventive medicine in local, state, national and international health agencies.
This study works closely with the UCSF Center for Intelligent Imaging (Ci2) 3DLab within the Department of Radiology & Biomedical Imaging.
- Bachelor's Degree in Computer / Computational / Data Science/ Domain Sciences or Biomedical Engineering (or related field) with computer / computational / data specialization or equivalent experience.
- Experience working with DICOM data and medical imaging
- Experience with software development (bash, python, databases/SQL, matlab, R) on Linux and Windows OS
- Working knowledge of HPC / Data Science / CI./ Deep Learning.
- Working knowledge of applications programming and web development, databases and data systems, statistical methods and tools, and 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, and to iteratively improve data science methodologies working with biomedical domain experts.
- 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.
- Ability to manage multiple assignments through prioritizing tasks and managing time.
- Self-motivated and works independently and as part of a team.
- Master's degree in Computer / Computational / Data Science Domain Sciences or Biomedical Engineering (or related field) with computer / computational / data specialization preferred.
- Coursework or a degree in biological sciences preferred.
- Coursework in medical imaging/image analysis
- Basic knowledge of the physics of medical imaging
- Basic knowledge of human anatomy
- Working knowledge of statistical analysis and the use of software such as SAS, SPSS, Stata
- Working project management skills.
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.
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
Professional (Non-Clinical), Professional and Managerial
99 - Policy-Covered (No Bargaining Unit)
Appointment End Date
Flexible (combination of onsite and remote work), Mission Bay (SF)
Additional Shift Details
Mon-Fri, 8:30 am to 5:30 pm (flexible)