Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

Job title:

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration

Company

UCLA

Job description

Job #JPF09563

• Ophthalmology / David Geffen School Of Medicin / UCLA

Position overview Position title: Postdoctoral Scholar in Bioinformatics of Neurodevelopment and NeurodegenerationSalary range: The posted 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 WindowOpen date: June 28, 2024Next 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 descriptionPostdoctoral Researchers in the Peng Lab at UCLAat 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 . 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

QualificationsBasic qualifications (required at time of application)Ph.D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields.Application RequirementsDocument requirementsCurriculum 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 document.
(Optional)Misc / Additional (Optional)Reference requirements

• 3-5 required (contact information only)

We will only contact references with your permission.

Expected salary

$77327 per year

Location

Los Angeles, CA

Job date

Sun, 30 Jun 2024 04:37:32 GMT

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