Dr. Andrew Hung is looking for a Postdoctoral Scientist to join a diverse team!
To learn more about the department - Hung Research Lab | Cedars-Sinai
When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report.
Are you ready to be a part of breakthrough research?
Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientist, the Research Fellow will perform routine and complex laboratory procedures throughout training period. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds.
Primary Duties and Responsibilities
Department specific responsibilities – position supports the Cancer Biology Program, with the expectation it will interface with multiple research teams with varied research interests, projects and timelines
Requirements:
Doctorate Degree (PhD) in Computational Biology, Bioinformatics, or Systems Biology
Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment.
Preferred experience
3- years’ experience working with big data or omics data. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Familiar with Python, Matlab, and R computing languages.
1 year of experience in manipulating, analyzing, and annotating very large omic data sets, both in exploratory and pipelined fashions will be a plus.
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