Data Engineer & Data Scientist

  • University of California San Francisco
  • Fully, VS, Switzerland
  • 15/01/2023
Full time Data Science Data Engineering Business Intelligence Software Engineering

Job Description

Job details

Job Type
Full-time
90-100%

Full Job Description

The successful individual will work on MRI data as part of ongoing studies in Multiple Sclerosis. The Bioinformatics specialist will have the opportunity to work closely with imaging scientists and engineers, as well as Neuroradiologists and Neurologists. The focus of the work will be on developing and running pipelines for the processing and analysis of advanced MRI imaging data on patients with Multiple Sclerosis as well as control volunteers.
Specifically, the bioinformatics shall be a core contributor to the development of a clinical service that quantitatively estimates the change in brain volume for multiple sclerosis patients. In addition to algorithm development to accurately estimate the change in brain volume, the bioinformatics scientist will interface with other data scientists to leverage our cohort of patients to understand normative patterns in brain atrophy data.
The service shall be made available for the EPIC team and the bioinformaticist shall be part of a team responsible for consistently delivering clinical reports to clinicians treating patents in the EPIC studies.
Further work will be done in developing other neuroimaging volumetric pipelines and designing and maintaining production-ready code products to facilitate the storage, visualization and analysis of neuroimaging volumetric data.
Skills necessary to be successful in this position: scientific programming experience (proficiency in Python and Unix shell scripting). Experience in performing image processing and analysis using neuroimaging pipelines like FSL, Freesurfer and Nipype software packages. Experience performing statistical analysis (preferably in R or MATLAB). Experience with HTML and JavaScript. Experience working with computer vision and deep learning frameworks is desired but not required.

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

Department Description

Throughout the Department of Neurology at UCSF, our mission is to deliver superb patient care, to apply state-of-the-art translational research methods to discover the causes of and treatments for human nervous system disorders, and to educate each generation of medical students, neurology residents and postdoctoral fellows. By fostering cross-disciplinary interactions among scientists around the world, we accelerate the pace of discovery and champion the University's global health initiatives.

Required Qualifications

  • Bachelor's degree in biological science, computational / programming, or related area and minimum one year of experience or equivalent experience / training.
  • Working knowledge of bioinformatics methods and data structures.
  • Working knowledge of applications programming and web development.
  • Working knowledge of databases.
  • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
  • Ability to communicate technical information in a clear and concise manner.
  • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.

Preferred Qualifications

  • Working knowledge of application and data security concepts.
  • Working knowledge of modern biology and applicable field of research.
  • Working project management skills.

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.

Organization

Campus

Job Code and Payroll Title

009402 BIOINFORMATICS PROGR 2

Job Category

Clinical Systems / IT Professionals, Professional (Non-Clinical)

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Fully Offsite

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Mon-Friday, 8am-5pm