Post-Doctoral Research Associate

The Cao Lab is seeking to recruit outstanding 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).

You will ideally have a strong background in bioinformatics and statistics and prior experience in the analysis single-cell and other types of high-throughput data (e.g., RNA-seq, ATAC-seq, ChIP-seq, CUT& TAG, and chromatin interaction). You should also have a PhD in a relevant subject, a sound understanding of molecular biology, and a strong publication track record in bioinformatics 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.

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.

If you would like to know more about the role and projects, please contact Dr. Chen Cao: chen.cao@utdallas.edu

Ph.D. in Bioinformatics, Bioengineering, or biological science-related discipline with at least three years of experience in analyzing high-throughput sequencing data.

Ability to lead and direct teams of researchers including graduate students and postdocs.

This position will require strong verbal and written communication skills and the ability to work in a multidisciplinary team environment.

You will investigate regulatory mechanisms in close collaboration with experimental colleagues, using existing cutting-edge software or devising new methods to analyze single-cell profiling data as well as other types of genomic and transcriptomic data.

Develop new methods and pipelines for large-scale and massively parallel data processing and modeling of transcriptomic and imaging data.

You will lead computational projects, participate in research activities of the laboratory as a whole, and contribute to the supervision of students, providing an ideal opportunity to develop an independent scientific career.

A remote work schedule is not available for this position.

The post is initially available for 2-3 years, with the possibility of extension subject to available funding. Renewable pending funding availability and satisfactory performance.

What we have to Offer:
UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefit package including:

About UT Dallas
The University of Texas at Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. A charter member of SEA ( STEMM Equity Achievement) Change, UT Dallas is a place where members of the community are welcomed, treated fairly, and encouraged to their pursuit of excellence.

1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.

2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator . For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.