Job Type
This post-doctoral position is full-time.

Key Responsibilities include:
Projects involve evaluation of radiolabeled small molecule for imaging and therapy and mouse model development.

Basic education, experience and skills required for consideration:
• A Ph.D. degree in life or biomedical sciences, or a related discipline is required;
• Record of accomplishment including presentations at scientific conferences and peer-reviewed publications.

Preferred education experience and skills:
• Experience in one or more of the following areas is desired: molecular and cell biology; preclinical models of cancer
• Experience with rodent animal handling is an absolute requirement
• In vivo imaging is a plus
• Experience with cell culture sterile technique
• Experience with flow cytometry would be an advantage
• Experience in basic and advanced molecular biology techniques (PCR, plasmid construction, CRISPR technology)
• Attitude to work with accuracy, precision, and reliability in performing technical and analytical activities
• Strong organizational abilities. Able to work independently and follow through on assignment. Able to organize and present results in an appropriate format.

The successful candidate will have access to state-of-the-art laboratory equipment and departmental core facilities for molecular imaging, as well as access to the great UCLA research community.

We value motivation and team member spirit more than prior experience in any particular field. Exceptional individuals who do not match these descriptions exactly will also be considered.

Additional Information:
• For more information about Dr. Czernin’s research, please click on the following links: http://bioscience.ucla.edu/faculty/johannes-czernin
[http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Search&itool=pubmed_AbstractPlus&term=Czernin+JohannesAuthor]

Funding:
The chosen candidate will be funded by discretionary funds and remuneration will be based on NIH's grants policy on salaries and wages
Contact: Christine Mona, cmona à mednet.ucla.edu