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Research Associate I, Dou Lab

Cedars-Sinai

Tarzana, CAResearchNo compensation foundTracked 1mo agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
Tarzana, CA
Role Type
Research
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Cedars-Sinai is hiring a Research Associate I, Dou Lab. The Research Associate I will work independently and in close cooperation with the Principal Investigator and other Research Scientists. This role involves performing routine and complex computational tasks, developing novel research algorithmic techniques and software, and curating and analyzing data. The associate will lead research to improve translational cancer research by leveraging clinical and image data, utilizing advanced data science methods including AI and machine learning.

Key focus areas include Assist in the preparation of grant proposals, Participate in publications and presentations as author or co-author, and Design and perform experiments.

Successful candidates bring Bachelor's Degree Biological Sciences. Important skills include Computational Tasks, Algorithmic Techniques, Software Development, Data Curation, Data Analysis, and Artificial Intelligence.

Skills & qualifications

RequiredNice to have

Skills

Computational TasksAlgorithmic TechniquesSoftware DevelopmentData CurationData AnalysisArtificial IntelligenceMachine LearningMedical Image DataCTMRIEMRGenomics DataExperimental RecordsDocumentationData InterpretationData SummarizationData CompilationHardware OperationSoftware OperationData Operation

Qualifications

Bachelor's Degree Biological Sciences1 Year of Experience

Full job description

Job Description

Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientists on the team, the Research Associate will perform routine and complex computational tasks throughout training period. Will develop, adapt, and implement novel research algorithmic techniques and software. Curates and analyzes data. Will work with state-of-the-art computing hardware. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author.

The Research Associate I in the Dou Lab at Cedars-Sinai will create and lead research to improve translational cancer research by leveraging clinical and image data. In the Dou Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate the use of multimodal medical image data, including but not limited to CT and MRI, as well as electronic health records (EHR) and genomics data to improve clinical decision making in cancer treatments. The successful candidate will have access to the rich and unparalleled resources at Cedars-Sinai Cancer.

Primary Duties and Responsibilities

  • May assist in the preparation of grant proposals, but is not responsible for generating grant funds.

  • Will 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 computational tasks throughout the training period.

  • Operates and maintains group hardware, software, and data.

  • May observe MD-patient or MD-human research subject interactions as it pertains directly to research being performed.

Qualifications

Education

  • Bachelor's Degree Biological sciences - minimum

Experience

  • 1 year of experience - preferred

Licenses and Certifications

  • No license or certification required

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.

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