Considering joining us?

Open Positions

We have open positions for a Graduate student and a Postdoc

My laboratory aims to address the challenge of VUSs in cardiac ion channels by blending experimental and computational strategies: 1) determine structure and flexibility-induced changes from selected ion channel variants using a combination of Rosetta modeling, molecular dynamics in AMBER, and nuclear magnetic resonance (NMR). 2) generate experimental deep mutational scanning data sensitive to trafficking/functionally defective ion channel variants. 3) functionally characterize variants in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs)and 4) develop statistical predictive models of arrhythmia phenotypes. These technologies enable us to construct predictive models of ion channel phenotypes (functional and clinical) and validate resulting predictions.

Working at Vanderbilt: Vanderbilt is a renowned private institution founded in 1873 located a little more than a mile from downtown Nashville, TN. (Why should I want to work in Nashville?)

Postdoc Position

Job Duties: Help us investigate the significance of cardiac ion channel variants to individuals who carry them using structural biology, high-throughput functional characterization, and statistical modeling of clinical data.

Minimum Qualifications: PhD in Biology/Chemistry/Biochemistry, Genomics/Genetics, Bioinformatics or related field. We use next-gen sequencing, molecular biology, FACS, human induced pluripotent stem cell differentiation to cardiomyocytes, statistical modeling, and ion channels electrophysiology, so experience in one or more of those methodologies would be helpful. Salary will be set commensurate with experience and accomplishments as well as NIH guidelines. To apply, candidates must submit a letter of application, along with a CV including list of publications and a list of three references who can provide letters of recommendation, to brett.kroncke@gmail.com.

Graduate Student

Projects: The lab uses multiple techniques to generate information relevant to interpreting genetic variants in indivduals with or without disease. We use high-throughput characterization of variants in human embryonic kidney cells, in silico structural characterization of variants, electrophysiological characterization of variants in human induced pluripotent stem cell differentiated cardiomyocytes, and statistical modelling. Specific projects will be based on funding and student interests.