Research Fellow - Cardiovascular Diseases

Postdoctoral positions are available for eligible candidates with training in statistical genetics / statistics, programming / machine learning, cloud computing, data science and statistics.

• Our laboratory focuses on genomic studies of cardiovascular traits and implementation of genomics into clinical practice.
• The approaches we use include; genome and exome-wide association studies using high-density SNP arrays (common variants as well as rare variants), whole exome / genome sequencing in families with cardiovascular disease, Phenome wide association studies (PheWAS), variant annotation, electronic phenotyping algorithms and machine learning.
• Our laboratory is part of large-scale translational genomics initiatives, including the eMERGE and PRIMED networks established by the National Human Genome Research Institute and has access to large genotyping and sequencing datasets.
• The candidate should be able to analyze such data and have a Ph.D., M.D., or equivalent doctoral degree in biostatistics, statistics / statistical genetics or data science.

The candidate is expected to gain cross-disciplinary training in statistical genetics, genetic epidemiology, bioinformatics, translational genomics, and machine learning.