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Ida Su

Top university

1 week ago

Postdoctoral Employee - in vivo cell engineering University of California, Los Angeles in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Jun 30, 2027

Country flag

Country

United States

University

University of California, Los Angeles

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Keywords

Computer Science
Immunotherapy
Biomedical Engineering
Chemical Engineering
Biology
Synthetic Biology
Single-cell Analysis
Medical Science
Bioinformatic
ML
bio engineering

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About this position

The Su Lab at the University of California, Los Angeles, led by Prof. Ida Su, is recruiting a postdoctoral fellow to work on in vivo cell engineering. The lab develops innovative technologies aimed at enabling in vivo CAR T cells and related approaches for immunotherapies against cancer, autoimmune disorders, and infectious diseases.

The successful candidate will join an expanding interdisciplinary team and collaborate closely with Prof. Su on translational projects. The role is designed for a highly driven, creative, and collaborative researcher who wants to contribute to cutting-edge methods at the interface of chemical engineering, biomolecular engineering, and therapeutic cell engineering.

The position emphasizes strong mentorship, access to cutting-edge resources, and training opportunities intended to support the fellow’s development toward a future career in academia or industry.

Funding details

Available

What's required

A Ph.D. in Chemical Engineering, Biomedical Engineering, Bioengineering, Synthetic Biology, Immunology, or a closely related field is required. Applicants should have a proven track record of designing, executing, and interpreting quantitative biological experiments, strong analytical ability to evaluate data and prepare publication-quality figures, exceptional written and oral communication skills, and the ability to work independently while contributing collaboratively to a team. Preferred experience includes molecular cloning, genetic circuit design, CRISPR/Cas systems or prime editing, AI/ML-enabled biomolecule design or bioinformatics, flow cytometry, FACS, NGS or single-cell analysis, and in vivo animal handling or disease models.

How to apply

Apply through the UCLA recruitment portal using the provided application link. Upload a current CV, a cover letter describing your research interests, research experience, and career goals, and the reference check authorization release form. Provide names and contact information for three references.

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Professors

Prof. at University of California, Los Angeles

University Name
Country flag

United States

Research Interests

Computer Science

Biomedical Engineering

Biology

Ml

Single-cell Analysis