Postdoctoral Scholar jobs in United States
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UC Irvine · 3 months ago

Postdoctoral Scholar

The University of California, Irvine is a world-class research university seeking a Postdoctoral Scholar to explore metabolism regulation in various tissues using mouse models and human cell systems. The successful candidate will utilize bioinformatic tools to identify and test novel signaling pathways related to metabolic homeostasis and disease.

Higher Education
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Diversity & Inclusion
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H1B Sponsor Likelynote

Responsibilities

Explore regulation of metabolism in multiple tissues using in vivo mouse models as well as human (stem) cell systems
Examine metabolism regulation and disease pathogenesis
Ample bioinformatic tools to identify and experimentally test novel inter-tissue signaling pathways that regulate metabolic homeostasis and/or cause disease
Work independently to drive projects forward
Communicate effectively and collaborate as part of a multidisciplinary team
Compose and deliver comprehensive presentations at scientific meetings and prepare research articles for peer-reviewed publications
Support all laboratory activities including managing laboratory operations, participating in new protocol development, mouse protocol applications, supervision of students, assistance in mentoring trainees, preparation of grant applications as well as publications, participating in laboratory meetings and in collaborations with other laboratories
Pursue an independent project within the scope of the laboratory's interest while overall supporting all laboratory operations

Qualification

MetabolismMouse ModelsBioinformaticsNext Generation SequencingHuman Stem Cell SystemsBiochemical TechniquesMolecular BiologyMachine LearningGrant WritingCollaborationCommunicationPresentation SkillsMentoring

Required

Applicant can have their PhD at the time of the application or could be working towards the PhD or MD/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a related field
Extensive experience in a research environment and at least 1 first-author publication in a reputable scientific journal. The candidate is expected to have a record of academic accomplishments, including contributions to published or in-press research in the field
Past expertise in working with a colony of genetically modified mouse models (incl. genotyping)
Proficient in working with cell culture systems, and general laboratory biochemical and molecular biological techniques (including but not limited to: ELISA, Immunohistochemistry and confocal microscopy, immunoblotting, RNA extractions, RT-qPCR)
Familiar with standard software (MS Office Suite, Adobe Suite, Statistical and Graph Software packages i.e. Graphpad Prism)
Ability to work independently to drive projects forward
Ability to communicate effectively and collaborate as part of a multidisciplinary team
Ability to compose and deliver comprehensive presentations at scientific meetings and prepare research articles for peer-reviewed publications

Preferred

Experience in In vivo metabolic characterization of mouse models
Experience in isolation and culture of metabolic relevant tissues (ie isolated islets, isolated liver cells, adipose tissue), small rodent surgeries (e.g. miniosmotic pump implantation into mice)
Experience in stem cell differentiation protocols in to metabolic relevant cell-types
Experience in next generation molecular biological tools e.g. next generation sequencing, Chip-Seq, Cut&Tag, preparation of libraries for sequencing and downstream bioinformatic analysis of data sets
Experience with sectioning, fixing, and staining tissues for histology imaging, laser capture microdissection, and sample prep for (single-cell) sequencing
Expertise with ATAC-Seq, methylation profiling, genome/exome/targeted sequencing, mutation calling, single-cell analysis, RNA-Seq, proteomics, spatial technologies from 10X, NanoString or similar, cryoET or cryoEM analysis
Experience in biocomputational methods and be willing to engage in methods to analyze data and further develop additional expertise in this area
Experience in at least 1 programming language and machine learning models. Ideally, candidates will also have some familiarity with basic biology, next-generation sequencing data, and statistical modelling of high-dimensional datasets
Experience in basic computational methods (e.g. R, Python, and/or other programming languages)
Experience in developing computational analysis pipelines
Experience with building highly distributable software (e.g., R packages, Python modules, Linux-based command-line tools, C programs, MATLAB applications, GitHub)

Company

UC Irvine

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UC Irvine

H1B Sponsorship

UC Irvine has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (113)
2024 (86)
2023 (99)
2022 (76)
2021 (81)
2020 (79)

Funding

Current Stage
Late Stage

Leadership Team

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Anand Gala
CEO Roundtable Member
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Bob Romney
Chancellor's CEO Roundtable
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