Post-doctoral opportunity in developing novel computational approaches for disease surveillance. The laboratory of Dr. Rumi Chunara in Computer Science & Engineering, and the College of Global of Public Health at New York University is seeking highly motivated researchers to develop and study crowdsourced and point-of-care data for understanding infectious and chronic disease in populations worldwide.

Ideal postdoctoral candidates will have a Ph.D. with a strong background in bioinformatics, biostatistics, computer science or related field. Expertise in statistical machine learning and/or data mining are required. Preferred requirements for this position include experience designing software applications and/or storing, retrieving, and analyze large datasets. Experience with R, Python, SQL, JavaScript is preferred. Experience in hacking with cloud technologies (e.g., AWS, Hadoop) is a big plus. You must demonstrate an interest or experience in working with biological data such as genomic sequence, syndromic surveillance or physiological data.

This is an exciting research area and New York City provides great opportunities for networking and support of innovative work. Our group is engaged in many high-profile studies in collaboration with startups and other groups. The selected post-doc will be supported and encouraged to generate high impact publications, gain experience in supervising students and in grant writing if interested. All applicants should send an updated CV to Rumi Chunara (rumi.chunara@nyu.edu).