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Postdoc Research Associates in Single Cell Multi-Omics Analysis and Molecular Biology

Employer
the Department of Bioengineering, UT Dallas
Location
Dallas, Texas (US)
Salary
Highly competitive salary based on experience
Closing date
31 May 2024

View more

Discipline
Life Science
Job Type
Bioinformatician, Postdoctoral, Researcher
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

About Us

The Cao Lab at UT Dallas is seeking for two highly motivated postdocs to join us in the Department of Bioengineering at the University of Texas at Dallas. The Cao Laboratory utilizes and develops cutting-edge single cell omics, imaging and microfluidics tools to investigate on lineages commitment, cell type evolution and cell-cell interactions (e.g. Cao et al., Nature 2019; Lemaire et al., Science Advances, 2021; Chen et al., Plos Biology, 2022). Our research aims to elucidate the gene regulatory grammar in embryogenesis and cancer development (please visit https://labs.utdallas.edu/caolab for more details). The Cao lab is well funded by the National Institute of Child Health and Human Development (NICHD), and the Cancer Prevention and Research Institute of Texas (CPRIT). A competitive salary, determined by candidates’ backgrounds and experience, is offered, with the minimum benchmark meeting or exceeding NIH standards.

Position Summary

One position is available for the candidate with strong background in bioinformatics, computational biology or related fields, and prior experience in the analysis of single-cell sequencing data (e.g., RNA-seq, ATAC-seq, ChIP-seq, CUT&TAG, and chromatin interaction). The candidate will investigate regulatory mechanisms in close collaboration with experimental colleagues, using existing cutting-edge software and devising new methods to analyze single-cell profiling data as well as other types of genomic and transcriptomic data. The successful will candidate will lead computational projects, participate in research activities of the laboratory, and contribute to the supervision of students, providing an ideal opportunity to develop an independent scientific career.

 

One position is available for the candidate with strong background in molecular biology, developmental biology, genetics, system biology, or related fields. The candidate must have experience in utilizing genetic manipulation protocols, e.g., design and construct gene plasmids, CRISPR. Priority consideration will be given to candidates with previous expertise in genetic manipulation in embryos, single cell sequencing, confocal fluorescence microscopy. The successful candidate should have a sound understanding of developmental biology, and a strong publication track record in evo-devo or related fields. You will be expected to be able to work independently, interact well in a dynamic multidisciplinary team environment, and be able to communicate ideas and results clearly.

Requirements

  • Ph.D. in Bioinformatics, Bioengineering, or biological science-related discipline with at least three years of experience in analyzing high-throughput sequencing data. Ph.D. in genetics, system biology, developmental biology or biological science-related discipline with at least three years of experience in molecular biology. It is preferred that candidates demonstrate scientific productivity with peer-reviewed publications and strong commitment to scientific research. Recipients of recent PhD degree are strongly encouraged to apply. For the wet lab postdoc position, experience of Ciona husbandry may be plus. Strong verbal and written communication skills and the ability to work in a multidisciplinary team environment.

Additional information

UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefit package including: Competitive Salary, tuition benefits, medical insurance – including 100% paid employee medical coverage for full-time employees, dental insurance, vision insurance, long and short-term disability retirement plan options, paid time off, paid holidays.

 

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