The Priest laboratory (https://priestlab.stanford.edu/) at the Stanford University School of Medicine is seeking a highly motivated postdoctoral candidate with a doctoral degree in genetics, genomics, or computational biology to investigate the genomic basis of congenital heart disease and long-term outcomes.
Congenital heart disease is the most common anatomical malformation affecting almost 1 in every 100 children. The Priest laboratory endeavors combine genetics, genomics, and epidemiology with clinical practice in pediatric cardiology to investigate molecular basis of congenital heart disease and their long-term outcomes in children and adults. Our goal is to translate an improved molecular understanding of congenital heart disease from the laboratory into clinically actionable models, diagnostics, and ultimately therapeutic interventions.
The Priest Lab is located on the campus of the Stanford University School of Medicine on the main Stanford University campus offering a truly multidisciplinary research environment. The successful candidate will take advantage of the unique collaborative relationships with the Cardiovascular Institute, Department of Computer Science and across the broader research community of Stanford University which provides outstanding training and educational opportunities. Dr. Priest is committed to mentoring and training the candidate, providing all the support the candidate needs to reach their career goals. For competitive candidates, references from current and previous trainees attesting to the supportive and dynamic research environment of the Priest lab are available upon request.
This position is funded internally for one year, and therefore is open to all applicants regardless of citizenship or residency status. Applicants without US residency should confirm their eligibility for J1 or H1 visa prior to application.
The primary project of the ideal candidate will be to perform cutting edge techniques in genetic association studies related to congenital heart disease, cardiovascular disease, and long-term outcomes.
1. Prior comprehensive experience in large-scale genetic association studies and biostatistics is necessary. General familiarity with computer vision, deep learning, complex computational modeling, or image processing is desired. Familiarity with R, Python, and Unix computing environment is expected.
2. Ph.D. degree or equivalent in a computationally intensive biomedical research-related field. A record of peer-reviewed publications is necessary.
3. Excellent written scientific English skills are an absolute necessity. Applicants will learn and develop new skills such as engineering workflows within cloud computing resources.
Stanford University is an equal opportunity and affirmative action employer, committed to increasing the diversity of the workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to campus academic life.
Salary will be commensurate with experience.
Interested applicants should submit a complete CV with a list of publications, a cover letter describing your research interests and qualifications, and contact information of 3 references.