Deep Learning Engineer - IoT BigData Jobs

Up to 5 million human genomes and exomes are expected to be sequenced by the end of 2018, driven by advances in sequencing technologies pioneered by Illumina. As a consequence of this success, genomic interpretation has emerged as the chief bottleneck to clinical diagnosis and actionability. To address this challenge, Illumina is hiring a scientist with specialization in deep learning to develop new scientific algorithms and techniques to improve the accuracy, throughput, and reproducibility of clinical genome interpretation and diagnosis. Recent advances in deep learning have revolutionized diverse fields such as computer vision, language, decision support, and speech processing. The enormous amounts of data being generated in sequencing experiments represent a major opportunity to develop novel machine learning and data-driven approaches to extract clinically actionable information from genomic sequence, and apply it towards improving human health. All About You Responsibilities: Develop deep learning algorithms for distinguishing between benign and pathogenic genetic variation and extracting structure and function from sequence. Develop deep learning models that integrate across multimodal data sources, including functional genomics, conservation, and protein structure. Develop novel network architectures optimized for genomics applications. Develop visualization tools to explore neural networks and provide context on how the network made its decisions Requirements: At least 2+ years experience in deep learning, and at least 5+ years total experience in general algorithms, data mining, and machine learning. Expertise on solving novel problems with deep learning on common deep learning platforms: Tensorflow, Theano, Keras, Torch, Caffe. Experience with genomics within a biotech/pharmaceutical organization, research institute, or academic medical center, and eagerness to grow domain knowledge in biology, statistics, and human genetics. Communication and presentation skills with the ability to present complex scientific ideas to clinical, scientific, and corporate audiences. Must have a strong record of successful delivery of complex projects while under tight timelines. Willing to work in a fast paced, competitive environment. Education: Advanced degree (PhD or MS) in computer science, genomics, or statistics specializing in artificial intelligence and machine learning Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.