Postdoctoral Associate - Hinson Lab
The Hinson lab is seeking an independent, highly-motivated PhD-level scientist (<2 years postdoc experience) with a strong background in cell biology and tissue engineering to join our somatic cell genome-editing (SCGE) program funded by NIH U01 EB028898. This four-year academic project aims to: 1) interrogate human cardiac microtissues by comprehensive assessment of cardiac physiology in combination with single-cell transcriptomics to identify efficacy and adverse consequences of somatic cell genome editing targeted to heart failure-associated genetic loci, and 2) engineer autologous cardiac microtissues assembled with two distinct classes of macrophages to study cardiac function and genome editing reagents.
The Hinson lab at the Jackson Laboratory for Genomic Medicine and UConn Health studies human cardiovascular disorders especially heart failure using a combination of approaches including tissue engineering, genome editing, pluripotent stem cell technology and genomics assays. We are a highly-collaborative multi-disciplinary team that includes expertise in genome biology, computation biology, tissue engineering and clinical cardiovascular medicine.
QUALIFICATIONS
- Ph.D. in cell biology, molecular biology, genetics or biomedical engineering
- Prior research experience in at least two of the following areas: tissue engineering especially involving engineered cardiac tissues, pluripotent stem cell biology and differentiation, cellular physiology and next-generation genome sequencing assays especially RNA-seq.
- Experience in single cell technologies for transcriptomics, flow cytometry (or other forms of cytometric analyses), cellular histology and confocal microscopy especially live-cell imaging is particularly desirable.
- Candidates should have a publication record in peer-reviewed journals.
- Excellent writing and communication skills, able to work independently and effectively with other members in a productive team.
- Experience with R, Python or similar statistical package is helpful, as well as experience with clustering, pathway, genetic and genomic data analyses and bioinformatics.
**Please submit your current CV, at least 2 letters of reference, and 1-page (maximum) statement of Research Interests and Career Goals at time of application.**
We are a diverse and inclusive research group, aspiring to produce top science and scientists through attentive and progressive mentoring and interdisciplinary teamwork.