University of California - San Francisco
Larson Lab - Junior/Assistant/Associate/Full Specialist
University of California - San Francisco, San Francisco, California, United States, 94199
Application Window
Open date:
April 11, 2024Next review date:
Friday, Apr 26, 2024 at 11:59pm (Pacific Time)Apply by this date to ensure full consideration by the committee.Final date:
Saturday, Oct 11, 2025 at 11:59pm (Pacific Time)Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.Position description
Larson Lab - Junior/Assistant/Associate/Full SpecialistThe Larson Lab is seeking a Junior, Assistant, Associate, or Full Specialist. This position is focused on using modern machine learning and computer vision algorithms for automated large-scale analyses of cancer imaging data, working with Dr. Thomas Hope (https://profiles.ucsf.edu/thomas.hope) and Prof. Peder Larson (http://www.radiology.ucsf.edu/research/labs/larson).More specifically, positron emission tomography (PET) with prostate-specific membrane antigen (PSMA) based agents is transforming the assessment of lethal advanced prostate cancers. UCSF and Dr. Thomas Hope have led the clinical translation of this agent, and a key next step is to develop advanced tools for analyzing PSMA PET data. This promises to maximize the utility by improving our understanding of how the measurements in PSMA PET images relate to disease progression and treatments.We propose to develop such advanced analysis tools using modern machine learning and computer vision methods to automatically segment and classify lesions as well as provide quantitative measures of localized disease burden.The responsibilities of this position include:Curation and management of cancer imaging datasetsIntegration of information from clinical databases and cliniciansTraining machine learning models using cancer imaging datasetsRequired Qualifications:Specialists appointed at the Junior rank must possess a baccalaureate degree in Computer Science, Electrical Engineering, Data Science, or a related field, or at least four years of research experience.Specialists appointed at the Assistant rank must possess a master's degree or a baccalaureate degree with three or more years of research experience.Specialists appointed at the Associate rank must possess a master's degree or five to ten years of research experience.Specialists appointed at the Full rank must possess a terminal degree or ten or more years of research experience.Must have strong written and verbal communication skills.Ability to work on collaborative research projects in a multi-disciplinary team.Applicants must meet all of the requirements by the time of hire.Applicant materials must list current and/or pending qualifications upon submission.Preferred Qualifications:Experience with Python and PyTorchSetting up and curating large datasetsComputer vision model developmentTraining of Machine Learning models based on image dataSee Table 24B for the salary range for this position. A reasonable estimate for this position is $51,300-$181,800.Please apply online at: https://aprecruit.ucsf.edu/JPF05026 with a cover letter, CV, and contact information for two references.Application Requirements
Document requirementsCover LetterCurriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).Statement of Research (Optional)Statement of Teaching (Optional)Statement of Contributions to Diversity - Please see the following page for more details: Contributions to Diversity Statement (Optional)Misc / Additional (Optional)Reference requirements2 required (contact information only)About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California 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.Job location
San Francisco, CA
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Open date:
April 11, 2024Next review date:
Friday, Apr 26, 2024 at 11:59pm (Pacific Time)Apply by this date to ensure full consideration by the committee.Final date:
Saturday, Oct 11, 2025 at 11:59pm (Pacific Time)Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.Position description
Larson Lab - Junior/Assistant/Associate/Full SpecialistThe Larson Lab is seeking a Junior, Assistant, Associate, or Full Specialist. This position is focused on using modern machine learning and computer vision algorithms for automated large-scale analyses of cancer imaging data, working with Dr. Thomas Hope (https://profiles.ucsf.edu/thomas.hope) and Prof. Peder Larson (http://www.radiology.ucsf.edu/research/labs/larson).More specifically, positron emission tomography (PET) with prostate-specific membrane antigen (PSMA) based agents is transforming the assessment of lethal advanced prostate cancers. UCSF and Dr. Thomas Hope have led the clinical translation of this agent, and a key next step is to develop advanced tools for analyzing PSMA PET data. This promises to maximize the utility by improving our understanding of how the measurements in PSMA PET images relate to disease progression and treatments.We propose to develop such advanced analysis tools using modern machine learning and computer vision methods to automatically segment and classify lesions as well as provide quantitative measures of localized disease burden.The responsibilities of this position include:Curation and management of cancer imaging datasetsIntegration of information from clinical databases and cliniciansTraining machine learning models using cancer imaging datasetsRequired Qualifications:Specialists appointed at the Junior rank must possess a baccalaureate degree in Computer Science, Electrical Engineering, Data Science, or a related field, or at least four years of research experience.Specialists appointed at the Assistant rank must possess a master's degree or a baccalaureate degree with three or more years of research experience.Specialists appointed at the Associate rank must possess a master's degree or five to ten years of research experience.Specialists appointed at the Full rank must possess a terminal degree or ten or more years of research experience.Must have strong written and verbal communication skills.Ability to work on collaborative research projects in a multi-disciplinary team.Applicants must meet all of the requirements by the time of hire.Applicant materials must list current and/or pending qualifications upon submission.Preferred Qualifications:Experience with Python and PyTorchSetting up and curating large datasetsComputer vision model developmentTraining of Machine Learning models based on image dataSee Table 24B for the salary range for this position. A reasonable estimate for this position is $51,300-$181,800.Please apply online at: https://aprecruit.ucsf.edu/JPF05026 with a cover letter, CV, and contact information for two references.Application Requirements
Document requirementsCover LetterCurriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).Statement of Research (Optional)Statement of Teaching (Optional)Statement of Contributions to Diversity - Please see the following page for more details: Contributions to Diversity Statement (Optional)Misc / Additional (Optional)Reference requirements2 required (contact information only)About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California 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.Job location
San Francisco, CA
#J-18808-Ljbffr