A Postdoctoral Research Associate position is available at Dr. Clement Chan’s Lab at the University of North Texas, Department of Biomedical Engineering. Please apply to this position via this link: https://jobs.untsystem.edu/postings/50531
This is a full-time position with standard employee benefits. Salary is commensurate with experience. This position is supported by federal research grants and is expected to exist in at least 2021-2026; it is available immediately. There is also a budget for this postdoc to travel and present research work at national conferences. The research laboratory is located at the campus of University of North Texas in Denton, which is within the Dallas-Fort Worth area, a major metropolitan in U.S. with a ranking of #4 by population size and #6 by economic outputs. Our campus is close to the DFW international airport that provides direct flights to most major cities. The region is highly diverse with a wide range of shops, restaurants, and entertainment and recreation facilities.
The postdoc will participate in a range of research studies based on his/her expertise, and will have opportunities to propose new ideas related to our research goals. Our research involves Biochemistry and Systems and Synthetic Biology. We use skills and techniques from various disciplines to understand and engineer biological systems at molecular to cellular levels, aiming to develop biological devices for tackling environmental, biomedical, and industrial problems. These scientific disciplines include protein science and engineering, genetic and cellular engineering, computational biology, omics sciences, and bioinformatics. Previous work of our principle investigator, Dr. Chan, can be found from this link: https://www.ncbi.nlm.nih.gov/myncbi/clement.chan.1/bibliography/public/.
Candidates are particularly encouraged to apply this position if they have experience in any of the following methods and techniques:
• Cloning and genome editing
• Confocal microscopy
• Flow cytometry
• Protein X-ray crystallography
• Protein engineering
• Machine learning
• Next-generation sequencing for genomics and transcriptomics
• Mass spectrometry for proteomics and metabolomics
Further details of our ongoing work are available from the following list of our recently funded projects:
• NIH R35GM142421. Development of Genetic Sensors and Circuits for Creating Novel Cellular Behaviors (https://reporter.nih.gov/search/s7wB4YvKTEq_LsMQ3o6ONQ/project-details/10267505)
• NIH R15GM135813. Design and construct modular transcriptional repressors to facilitate the development of living diagnostics (https://reporter.nih.gov/search/Twzwh9rafEq7sfsWrHjtRQ/project-details/9879608)
• NSF MCB-1914538. Developing modular repressors as in vivo biosensors in various organisms (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1914538)
The applicant should have a Ph.D. (or relevant) degree in Chemical Biology, Bioengineering, or related field.