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American Council Of Engineering Companies

USC Postdoctoral Research Associate

American Council Of Engineering Companies, Los Angeles, California, United States, 90079


A postdoctoral research fellow position is available in the lab of Dr. Charleston Chiang at USC. The

Chiang lab

utilizes cutting-edge analytic tools to address questions at the intersection of human medical and population genetics. In particular, we have a strong interest in

using genomic data to understand the evolution and architecture of complex traits and the history of diverse human populations.

In this position, we are looking for a postdoctoral researcher with a strong computational background for method development in population and statistical genetics. The position is funded by an

NIH grant

on method development utilizing the ancestral recombination graph.The postdoc position is for

1-3 years depending on the career goals of the candidate . The position is extendable at the end of the initial appointment. Salary starting

above the NIH postdoc scale (step 7; > $70,000 per year) , commensurate with experience and expertise. While postdocs are considered a transient phase of one's career, we also value stability. There will be opportunities to transition to a staff scientist position.Start date is flexible throughout 2024 and 2025 . A hybrid model with some level of working from home is possible. The scholar will work closely with other co-Investigators at USC, including

Dr. Doc Edge

and

Dr. Nicholas Mancuso . We are actively establishing a vibrant and respectful culture in the research group.Interested candidates should submit a CV, a short (1 page) cover letter describing their research interests and fit within the lab, and contact information for 2-3 references. Potential applicants are encouraged to submit informal inquiries to Charleston Chiang at

charleston.chiang@med.usc.edu .Minimum Requirements:Minimum Education: Ph.D. or equivalent doctorate within the previous five years.Minimum Experience: 0-1 year.Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures, and analysis methods.Candidates should have a Ph.D. in genetics, computer science, bioinformatics, computational biology, or a related field. Proficiency in one or more programming languages (e.g., Python, C++, R, etc.) and in a Unix-based computing environment is desirable but not necessary. Experience in conducting human genetics or population genetics research and analyzing large genetic datasets is also a plus, but not necessary. A passion to learn about human genetic research and to perform rigorous research is a must.

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