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Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

Employer
University of California Los Angeles
Location
Los Angeles, California
Salary
DOE
Closing date
24 Aug 2024

View more

Discipline
Computing
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

 

The Peng Lab (https://yirongpeng.com/) at the University of California, Los Angeles is seeking dedicated Postdoctoral Fellows with a background in data science and bioinformatics to help us gain a broader understanding of the neurodevelopment and neurodegeneration through computational analyses. The role involves the application of state-of-the-art bioinformatic methods, machine learning, and AI techniques to high-dimensional data to perform integrative and exploratory analysis. In return, we offer a robust environment for learning advanced genetic technology, viral manipulation, molecular biology, and behavioral analyses needed to study the molecular principles of visual function and disease. For more details, see www.yirongpeng.com. We are committed to the academic growth and success of postdoctoral fellows and are looking for highly motivated applicants to join our vibrant team.

 

Responsibilities:

• Lead projects on developing novel analyses to study the development and degeneration of the visual system

• Acquire, process, integrate, and standardize large datasets and build databases

• Perform integrative and exploratory analyses of multi-omics datasets and apply machine learning methods to decipher the underlying principles

 

Selection criteria

• Ph.D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields

• Strong track record of productivity, as evidenced by publications in peer-reviewed scientific journals

• Considerable experience in data analysis and handling ‘omics’ datasets – genomics transcriptomics, proteomics– evidenced by a portfolio including R scripts, published R packages, or contributions to open-source software projects

• Proficient use of the R language, alongside machine learning and AI, with extensive experience in data analysis

• In-depth knowledge and skills in using Linux, Git, Docker, PHP, MySQL, etc

• Excellent communication and writing skills, with the ability to collaborate easily  

• Background knowledge in Biology or Neuroscience

 

To Apply, visit:

https://recruit.apo.ucla.edu/JPF09563

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