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Postdoctoral Scholar in Machine Learning in Medicine

Position overview

Position title: Postdoctoral Scholar
Salary range: $70,000 - $80,000 per year depending on experience

Application Window

Open date: January 13, 2024

Next review date: Saturday, Jun 29, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Sunday, Jun 30, 2024 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

The Computational Diagnostics lab at UCLA is seeking a researcher to join as a Postdoctoral Scholar to lead and collaborate on the development of machine learning methods applied to biomedical data. The successful candidate will work closely with Dr. Corey Arnold and a cross-disciplinary team of faculty, staff, and trainees. Individuals with expertise in digital pathology, radiology, spatial transcriptomics, and time series modeling are encouraged to apply. More information about the lab can be found at https://cdx.seas.ucla.edu.
Key Responsibilities:
• Lead independent research projects and support collaborative projects.
• Author scientific publications and grant proposals.
• Supervise trainees and maintain research infrastructure.
• Comply with UCLA guidelines for lab safety, animal research, and human subject research.
• Develop and update standard operating procedures and best practices for research projects.
• Communicate effectively with team members, present findings and progress both verbally and in writing.

Cultural North Star. The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star.

Qualifications

Basic qualifications (required at time of application)

• PhD in engineering, computer science, or related field.

Additional qualifications (required at time of start)

• Expertise in the development and application of machine learning methods.
• A track record of publications as first author.
• Experience in image analysis, preferably with medical images.

Application Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter (Optional)

  • Statement of Research - previous research experience and future research interest

  • Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.

  • Reference check authorization release form - Complete and upload the reference check authorization release form

  • Misc / Additional (Optional)

Reference requirements
  • 2 required (contact information only)

References will only be contacted for final candidates.

Apply link: https://recruit.apo.ucla.edu/JPF09132

Help contact: amyywang@mednet.ucla.edu

About UCLA

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/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.

For the University of California’s Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California’s Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Job location

Los Angeles, CA