Urology Postdoctoral Scientist - Hung Lab

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  • CEDARS-SINAI
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Job Summary
Location
Los Angeles ,CA 90071
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
27 Jan 2025
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Job Description

Urology Postdoctoral Scientist - Hung Lab at CEDARS-SINAI summary:

The Urology Postdoctoral Scientist in the Hung Lab at Cedars-Sinai Medical Center is responsible for performing complex laboratory procedures and analyzing data in collaboration with the Principal Investigator. The position requires a PhD in Computational Biology or related fields, with a focus on cancer biology and the application of advanced research techniques. Candidates should have experience with big data analysis and programming languages such as Python and R, contributing to publications and grant proposals within a dynamic research environment.

Job Description

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

  • 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


Qualifications

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.


Req ID : 5465
Working Title : Urology Postdoctoral Scientist - Hung Lab
Department : Urology
Business Entity : Cedars-Sinai Medical Center
Job Category : Academic / Research
Job Specialty : Postdoctoral Scholar
Overtime Status : EXEMPT
Primary Shift : Day
Shift Duration : 8 hour
Base Pay : $62,400 - $93,600

Keywords:

Urology, Postdoctoral Scientist, Cancer Biology, Bioinformatics, Computational Biology, Research Fellow, Big Data, Machine Learning, Omics Data, Scientific Computing