Urology Postdoctoral Scientist - Hung 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.

When you join Cedars-Sinai, you become part of a team that is at the forefront of medical advancements. Working alongside physician-scientists and researchers, you will be a part of life-saving medical and scientific breakthroughs.

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

• May assist in preparation of grant proposals, but is not responsible for generating grant funds.
• May participate in publications and presentations as author or co-author.
• Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator.
• May develop, adapt, and implement new research techniques and protocols.
• Analyzes, interprets, summarizes and compiles data.
• Performs routine and complex laboratory procedures throughout the training period.
• Operates and maintains equipment and instruments.

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

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.