Letter of interest and CV. Those who advance through screening will be invited to submit a full application.
Overview: The Yiadom Lab, also known as the Emergency Care Health Service Research Data Coordinating Center (HSR-DCC), is a Stanford-based emergency care research lab that uses routine clinical data, epidemiology, predictive modeling and artificial intelligence to address time-sensitive emergency conditions. Work includes 1) a heavy focus on cardiovascular disease conditions, but also 2) studies on the safety and effectiveness of novel clinical operations interventions to improve health care delivery. In addition, the HSR-DCC works with many other institutions on collaborative research within the US and internationally.
The Team: The team consists of clinicians, biostatisticians, machine learning experts, medical informaticists, electronic health record data specialists in addition to a large network of interdisciplinary collaborators. We use team sciences approaches to execute all studies. As a result, we provide all trainees an opportunity to participate in many labs studies, but take on select studies as the lead and focus of their training. The selected post-doc would be responsible for the conduct of studies.
The Position: This is post-doctoral fellowship position in the School of Medicine within Stanford University with exposure to clinical care delivered within Stanford Health Care and Internationally. The post-doc will be one of at least 3 fellows conducting research in our lab along with residents and medical students, and expected to commit no less than 2 years. Exposure to clinical practice administration, data, data analysis and method to produce analysis results that can influence practice will be the focus of training and productivity support.
Education/Skills/Competencies: Those with a PhD, MD/PhD, other MD taking a hiatus from clinical training are welcome to apply. We will prioritize those with a primary career interests in the area of Clinical Operations Clinical Research, but will consider other learning objectives that fit within the scope of our work including: applied clinical informatics, acute coronary syndrome, biostatistical study design for time-sensitive conditions, critical or emergency care, cardiovascular disease and/or care transitions. Successful candidates will have experience leading the writing of peer review papers or completing statistical analysis with supervisions.
Cover letter and CV. Those who advance through screening will be invited to submit a full application.