Postdoctoral Associate (UConn)

The Beck lab uses and develops genomic and transcriptomic techniques to identify variation within repetitive and complex regions of mammalian genomes. As a Postdoc in the Beck lab, you would lead projects examining the mechanisms and consequences of structural variants across human and mammalian organisms.

To accomplish these goals, the Postdoc will analyze existing genomic and transcriptomic data with computational tools to identify novel loci of interest and execute laboratory experiments to test the consequences of genomic variation. Fluency with multiple experimental techniques, coupled with ability or a willingness to learn Python or R and other common bioinformatics tools, is required to carry out our analyses and prepare results for publication. Experience with cell culture, and in particular iPSCs, will also be beneficial for these projects.

Applicants should have a PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field. A strong publication record in peer-reviewed journals is also highly desirable. Applicants should also have excellent communication and teamwork skills, as well as the ability to work both independently and collaboratively. Experience using statistical inference to support results is also helpful, as is experience with iPSC culture and differentiation.

Knowledge of structural variation and variant mechanisms, experience using computational libraries for tabular data and statistical analysis, and experience executing jobs and pipelines in a high-performance computing cluster will be advantageous.

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.