美国加州大学洛杉矶分校招聘博士后—神经发育与神经退行性变的生物信息学

美国加州大学洛杉矶分校招聘博士后—神经发育与神经退行性变的生物信息学

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

Employer

University of California Los Angeles

Location

Los Angeles, California

Salary

$$64,480 - $77,327

Closing date

24 Aug 2025

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

University of California Los Angeles

Requisition Number: JPF10434

Postdoctoral Researchers in the Peng Lab at UCLA

The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover fundamental insights into visual system development, function, and disease.

Why Join Us?

As a postdoctoral fellow, you will have the opportunity to lead innovative research, collaborate with top scientists, and develop novel computational approaches to analyze complex biological datasets. We are committed to fostering the academic and professional growth of our fellows in a dynamic and supportive research environment. Fellows will have access to state-of-the-art computational and experimental tools, mentorship from experts across disciplines, and opportunities to present their work at prestigious conferences and in high-impact journals.

Responsibilities

Lead projects on developing novel analytical methods for studying the development and degeneration of the visual system

Acquire, process, integrate, and standardize large-scale multi-omics datasets and build databases

Perform integrative and exploratory analyses of multi-omics datasets and apply machine learning methods to uncover underlying biological principles

Selection Criteria

Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields

Strong experience in data analysis and handling ‘omics' datasets - genomics transcriptomics, and proteomics

Proficiency in R, Python, and other programming languages

Expertise in Linux, Git, Docker, and other high-performance computing environments

Excellent communication and writing skills, with the ability to collaborate effectively in a team

To apply, please visit: https://recruit.apo.ucla.edu/JPF10434

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