NIH‑Funded Postdoc: Vascular Biology & Therapeutics

Vanderbilt; Nashville (TN); On-site; USD 55,000 - 75,000; Full time

Job summary

Vanderbilt University Medical Center's Department of Pediatrics, Division of Neonatology, invites applications for a NIH-supported postdoctoral fellow to study ductus arteriosus biology and pharmacology. The project integrates single-cell genomics, spatial proteomics, and high-throughput screening to define regulatory pathways of DA contractility and PDA therapies.

The fellow will collaborate with the Reese lab and core facilities, with training across multi-omic platforms and translational

Qualifications

• PhD or equivalent doctoral degree in a related field.
• Strong publication record appropriate to career stage.
• Experience in vascular biology, genomics/transcriptomics, proteomics, or imaging.
• Strong written and oral scientific communication skills.
• Ability to work independently and within a multidisciplinary team.

Responsibilities

• Work on an NIH-funded project integrating ductus arteriosus transcriptomics and spatial proteomics with drug discovery.
• Perform molecular and cellular assays, high-throughput screening, imaging, and functional studies.
• Collaborate with Vanderbilt core facilities and Reese lab across multi-omic analyses.
• Contribute to data integration and interpretation of vascular physiology and pharmacology results.

Skills

Vascular biology

Genomics/transcriptomics

Proteomics

Quantitative imaging

Scientific writing

Collaboration

Education

PhD or equivalent in relevant field

Job description

Vanderbilt University Medical Center's Department of Pediatrics, Division of Neonatology, invites applications for a NIH-supported postdoctoral fellow to study ductus arteriosus biology and pharmacology. The project integrates single-cell genomics, spatial proteomics, and high-throughput screening to define regulatory pathways of DA contractility and PDA therapies.

The fellow will collaborate with the Reese lab and core facilities, with training across multi-omic platforms and translational