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Computational and Data Science Research 3

Job Description


Physiology

Full Time

68555BR


Job Summary

Applies advanced computational, computer science, data science, with relevant neuroscience knowledge, to develop and apply new open source software and algorithms for analyzing neural and behavioral data. The goal of this work is to better understand how the brain learns, remembers, and decides based on recordings of large numbers of single neurons and measurements of multiple behavioral variables. This position supports those efforts by contributing to shared analysis pipelines running on CPUs and/or GPUs, implementing previously developed algorithms for extracting structure from high dimensional neural and behavioral time-series, developing/applying new algorithms, developing/applying visualization tools, and working with lab members to solve complex analytical and software problems. The applicant will have full access to lab hardware and software resources, including advanced GPU and CPU workstations, multiple petabytes of local storage, and an extensive open-source software library. The applicant will also have access to an extensive database of simultaneous, multi-day long recordings from many hundreds of opf neurons across multiple brain regions. This work will also engage collaborators at the Flatiron Institute, Lawrence Livermore National Laboratory, and other sites. Access to computing supercomputing resources at Lawrence Livermore and Lawrence Berkeley National Laboratories is also possible. Software is primarily written in python. 

Involves a hybrid of computational and data science approaches aimed at helping us understand how the brain creates memories and uses those memories to make decisions. The laboratory carries out large-scale, multi-day recordings of neuronal activity and behavior from animals learning spatial tasks. The resulting datasets are very large and very complex. Understanding these datasets depends on the development and application of advanced software pipelines and analytical tools. Responsibilities for this position include algorithm development and application, software pipeline development, and working with lab members to analyze and visualize datasets. Code is primarily developed in python, although other languages (R, Julia, C++) may be used as needed.


Department Description

The Department of Physiology is a thriving Basic Science Department with over 150 faculty, postdoctoral fellows, graduate students, and staff. Research projects cover the broad spectrum of physiological applications in neuroscience, molecular, and cellular physiology. The department's research and administration are housed at the Mission Bay Campus, while instruction remains at its roots on the Parnassus Campus. The Frank laboratory within the Department of Physiology is an HHMI-funded lab that studies the neural substrates of learning and memory.


Required Qualifications

  • Bachelor's degree in Computer / Computational / Data Science, or Neuroscience with computer / computational / data specialization or equivalent experience
  • Advanced knowledge of data science
  • Demonstrated knowledge of neuroscience
  • Requires 3+ years of related experience

Preferred Qualifications

  • Master's degree in Computer / Computational / Data Science, or Neuroscience with computer / computational / data specialization preferred.
  • Ph.D. in Computer Science / Computational or Systems Neuroscience
  • Demonstrated ability to work with complex, high-dimensional datasets.
  • Demonstrated experience with relevant software tools including python and git.
  • Demonstrated ability to communicate complex algorithmic and/or software concepts to scientists or others who are not experts in that domain. 
  • Demonstrated experience with statistical inference and statistical machine learning algorithms.
  • Self-motivated and works both independently and as part of a team.

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

006104 CMPTL AND DATA SCI RSCH SPEC 3


Job Category

Professional (Non-Clinical)


Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)


Additional Shift Details

M-F, 40 hours


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