Application deadline extended to March 1, 2019 for Scholar positions at Northwestern University and the University of Chicago.

The Third Coast HIV-related Cardiovascular (CV) and Sleep Disorders K12 Career Development Program (TC-CS K12) announces funding for NHLBI K12 Scholar Awards that provide substantial salary support (up to $85,000 plus fringe) for faculty-level MD, PhD, or MD/PhD investigators near the beginning of their careers. Applications are for funding in 2019, with appointments beginning as early as July 1, 2019.  Appointments are for two years.  Eligible candidates must hold a doctoral degree and must have a faculty-level appointment during the period of support. The University of Chicago applicants should email Kelsey Bogue (, and Northwestern University applicants should contact Fern Murdoch ( for additional information.

RFA for applicants at the University of Chicago

RFA for applicants at Northwestern University

Four Training Pathways for TC-CS K12 Scholars

Cardiovascular Disease

Pathway 1 — Heart Failure (HF) and HIV: This pathway will allow our Scholars to learn and perform clinical, epidemiological, or molecular pathogenesis research on the type of HF that is more common in patients with HIV, HFpEF.

Pathway 2 — HIV related Coronary Artery Disease (CAD): This pathway will provide Scholars the opportunity to jump-start careers studying the molecular, clinical, and/or epidemiological aspects of CAD in HIV aimed at improving its prevention and treatment with tools from the entire spectrum of our scientific disciplines including HIV immunopathogenesis research.

Sleep Disorders

Pathway 3 — HIV related Sleep disordered Breathing: Within the sleep disordered breathing pathway will be training opportunities from basic proteomics and biomarker discovery to clinical sleep lab training, focusing on HIV infected cohorts.

Pathway 4 — HIV related Circadian Disruption and Stress: Training ranges from pathogenesis/molecular effects of circadian disruption to clinical trial development to computational modeling or other data intensive science of complex environmental/social/physiological factors that drive interrelated stress and circadian disruptions.