Postdoctoral Fellow


Description

The laboratory of Dr. Michael McManus (https://mcmanuslab.ucsf.edu) at the University of California, San Francisco is seeking highly motivated post-doctoral scholars wishing to advance their research and career prospects. The McManus Lab combines multiple fields of genetics, developmental biology, synthetic biology, and systems biology to explore connections to human development and disease. Computational, engineering, quantitative biology, and cellular/molecular biology backgrounds are highly encouraged to apply.  

Ongoing projects include a variety of methodologies including quantitative high-throughput screening based approaches, directed molecular evolution, CRISPR technologies, synthetic engineering of mouse models, machine learning, and a suite of assays based on deep sequencing. Biological questions are diverse and range from cancer to metabolism, studying epigenetic and developmental programming related to cell states. The McManus Lab is very collaborative and trainees develop significant independence while growing their research program in a highly supportive and well funded environment. There is a long track record for trainees obtaining excellent positions at high profile institutions.

Successful candidates will have a Ph.D., an M.D., or an M.D./Ph.D. degree(s) in any biological or biomedical science discipline with a record of publications and enjoy working in teams. Postdocs in the McManus Lab receive a very generous cost of living supplement.

Interested applicants should send a cover letter describing their research experience and career goals, along with their CV, and the names and email addresses of at three professional references to [email protected]

Recent relevant publications include:

 

Current relevant NIH Funding includes:

Equal Opportunity Statement

Equal Employment Opportunity: The University of California San Francisco 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, age, protected veteran or disabled status, or genetic information.

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