Job Company: Sanford Burnham Prebys Medical Discovery Institute

We are recruiting a postdoctoral fellow to work on understanding the functional consequences of combinations of mutations that contribute to tumorigenesis. Highly self-driven, ambitious candidates with a knack for solving challenging problems in cancer biology and outstanding publication track record are encouraged to apply.  [More]

Under limited direction, will be responsible for development and design of websites to provide access to and display content from a complex central database project to multiple end users. Duties and Responsibilities: Independently create and manage a variety of websites for the distribution of data to sets of users at multiple institutions; Identify, test and implement appropriate software and systems [More]

We are recruiting a postdoctoral fellow to work on computational and functional genomics of Cancer. Highly motivated, self-starters with a knack for solving challenging problems in cancer biology with an outstanding publication track record are encouraged to apply. Though the candidate will be supervised by Dr. Anindya Bagchi, s/he is expected to work as a part of multi-disciplinary, dynamic and vibrant team... [More]

The Sanford Burnham Prebys Medical Discovery Institute at Lake Nona, Florida is seeking a full-time Bioinformatics scientist to analyze sequences and numerical data produced by a variety of genome-scale platforms, in particular next-generation DNA sequencing and DNA expression arrays.Primary responsibilities will include 1) developing data analysis strategies, implementing algorithms, and deploying computational software for the exploration of high-dimensional data... [More]

Sanford Burnham Prebys Medical Discovery Institute is seeking a Bioinformatics Scientist for its Proteomics Core Facility. The Bioinformatics Scientist will be responsible for collaborating with researchers and participating in the experimental and statistical design of projects, and in the biological interpretation of the resulting data. The incumbent will be responsible for applying the appropriate algorithms, computational and modeling techniques and statistical methodologies to analyze and visualize data primarily generated through high-throughput proteomics experiments.  [More]