Postdoctoral Scholars In Bioinformatics Of Neurodevelopment And Neurodegeneration

Position overview

Position title: Postdoctoral Scholar in Bioinformatics of Neurodevelopment and Neurodegeneration

Salary range: The posted UC salary scales set the minimum pay determined by rank and step at

appointment. See Table 23. The salary range for this position is $$64,480 - $77,327.

Review timeline: First review: July 28. Final review: August 28.

Application Window

Open date: June 28, 2024

Next review date: Sunday, Jul 28, 2024 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, Aug 28, 2024 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

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

Qualifications

Basic qualifications (required at time of application)

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

Application Requirements

Document requirements

• Curriculum Vitae

• Your most recently updated C.V.

• Cover Letter (Optional)

• Statement of Research

• Short summaries of your research interests and major accomplishments.

• Statement on Contributions to Equity, Diversity, and Inclusion

• An EDI Statement describes a faculty candidate's past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.

(Optional)

• Misc / Additional (Optional)

Reference requirements

• 3-5 required (contact information only)

We will only contact references with your permission.

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

Help contact: aidansmith@mednet.ucla.edu

About UCLA

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

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 University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Job location

Los Angeles, CA