Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

InsideHigherEd
Monterey Park, California, USA
Full-time

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

University of California Los Angeles

Requisition Number : JPF09563

Postdoctoral Researchers in the Peng Lab at UCLA

The Peng Lab 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, please visit : https : / / recruit.apo.ucla.edu / JPF09563

The University of California is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the complete University of California nondiscrimination and affirmative action policy, see : UC Nondiscrimination & Affirmative Action Policy, https : / / policy.

ucop.edu / doc / 4000376 / DiscHarassAffirmAction

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