Wang Lab – Junior/Assistant/Associate/Full Specialist

University of California, San Francisco; San Francisco (CA); On-site; USD 55,000 - 58,600; Full time

Job summary

University of California, San Francisco is seeking a Junior/Assistant/Associate/Full Specialist in the Wang Lab to curate high-quality clinical and imaging datasets for AI-based abdominal imaging applications, including cancer detection. You will work with the PI and team to organize data for training and validating algorithms.

The role emphasizes data management, basic analysis, and collaboration within a clinical research environment in San Francisco, CA.

Qualifications

• Bachelor's degree in a related science or equivalent experience.
• Master's degree or a bachelor's with 3+ years of research experience.
• Terminal degree or 10+ years of research experience for senior rank.
• Applicant materials must list current and/or pending qualifications.

Responsibilities

• Assemble and organize high-quality clinical and imaging datasets.
• Manual data collection, verification, and entry for specified cohorts.
• Perform basic medical image analysis under supervision.
• Review radiology or pathology reports to extract data.
• Assist with lab operations and research logistics.
• Collaborate with PI, postdocs, and students.
• Maintain detailed records of data collection and verification.

Education

Bachelor's degree in related science

Master's degree

Terminal degree

3+ years of research experience

Tools

PACS

DICOM

Image analysis software

Job description

Position Description

Wang Lab – Junior/Assistant/Associate/Full Specialist. The Wang Lab is seeking a Junior, Assistant, Associate, or Full Specialist. This position offers an opportunity to contribute to cutting‑edge research focused on developing artificial intelligence (AI) applications for enhanced abdominal imaging, particularly in cancer detection. The successful candidate will work closely with the Principal Investigator (PI) and lab members to support these efforts by meticulously curating high‑quality datasets. The primary goal of this role is to provide crucial support in organizing and assembling comprehensive clinical and imaging data essential for training and validating AI algorithms. The position involves engaging in detailed data management and basic analysis tasks within a collaborative research environment.

Responsibilities

• Assemble and meticulously organize high-quality clinical and imaging datasets derived from sources such as electronic health records and imaging archives (PACS).
• Perform manual data collection, verification, and entry for specified patient cohorts, ensuring accuracy and completeness relevant to abdominal imaging and cancer detection projects.
• Execute basic medical image analysis tasks under supervision, which may include anatomical segmentation on imaging studies like CT or MRI.
• Review various clinical reports (e.g., radiology, pathology) to extract and record pertinent information.
• Assist with managing day-to-day lab operations and research logistics as needed.
• Collaborate effectively with the PI, postdoctoral researchers, students, and other team members.
• Maintain detailed and accurate records of data collection, verification, and analysis activities.

Required Qualifications

• Specialists appointed at the Junior rank must possess a baccalaureate degree in a related science (or equivalent degree) or at least four years of research experience.
• Specialists appointed at the Assistant rank must possess a master’s degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
• Specialists appointed at the Associate rank must possess a master’s degree (or equivalent degree) or five to ten years of research experience.
• Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
• Applicants must meet all the qualifications by the time of hire.
• Applicant materials must list current and/or pending qualifications upon submission.

Preferred Qualifications

• Minimum of one year of experience working in a laboratory or research environment.
• Excellent organizational skills, attention to detail, and interpersonal communication skills (verbal and written).
• Willingness and ability to learn new methods and skills for evolving research priorities.
• Prior experience working with clinical data or electronic health records.
• Familiarity with medical imaging data (e.g., DICOM format) or basic image analysis software.
• Basic understanding of medical terminology, particularly related to radiology or oncology.
• Demonstrated interest in artificial intelligence or its applications in healthcare.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$58,600.

Please apply online at https://aprecruit.ucsf.edu/JPF05604 with a CV.

Document Requirements

• Curriculum Vitae – CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
• Cover Letter (Optional)
• Statement of Research (Optional)

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.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affimciate Action and Nondiscrimination in Employment

San Francisco, CA