Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

Details

Posted: Unknown

Location:

Salary:

Summary:

Summary here.

Details

Posted: 27-Jun-25

Location: Los Angeles, California

Type: Full-time

Categories:

Academic/Faculty
Biological/Biomedical Sciences

Internal Number: 6325361

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
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
jeid-6216b9ca0fc38949aa0a6a98c94a8d2d

Create a Job Match for Similar Jobs
Logo
About University of California Los Angeles
UCLA is known worldwide for the breadth and quality of its academic, research, health care, cultural, continuing education and athletic programs. UCLA offers undergraduate degrees in more than 127 majors and graduate degrees in 198 program areas. UCLA has 11 highly regarded professional schools. Eight are ranked among the nation's top 15 in their field by U.S. News & World Report. UCLA is consistently among the most popular campus in the nation for undergraduate applicants. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, disability, or protected veteran status. Benefits:UCLA offers a comprehensive benefits package, including an average of three weeks' vacation per year; an average of 12 days per year sick leave; 13 paid holidays per year; health, dental and optical benefits; life insurance; disability insurance; the University of California Retirement Plan with 5 year vesting and various voluntary UC Savings Plans. There are also special programs and privileges available, such as accessibility to cultural and recreational programs, athletic events, and the University Credit Union.
Connections working at University of California Los Angeles
More Jobs from This Employer
https://main.hercjobs.org/jobs/21451798/postdoctoral-scholars-in-bioinformatics-of-neurodevelopment-and-neurodegeneration
Return to Search Results