Hundreds of millions of human genomes and
exomes are expected to be sequenced over the next decade, driven by steady
innovations in sequencing technologies pioneered by Illumina. The enormous
quantities of genomic data being generated by Illumina in collaboration with
our partners worldwide represents a major opportunity to develop novel
data-driven and artificial intelligence methods to extract clinically
actionable information from the genome, and apply it towards improving human
health.
To accelerate the adoption of clinical sequencing, Illumina is recruiting a world-class deep learning scientist to work on the development of novel deep learning algorithms for deciphering the effects of genetic variants in the human genome. Major aims would include modeling the effects of genetic variants on protein function, and diagnosis of pathogenic variants in patients with cancer or rare genetic diseases.
A key objective is to publish research results in peer-reviewed journals in order to improve the accuracy, throughput, and reproducibility of genome interpretation, thereby removing barriers to clinical adoption of whole genome sequencing. In addition to strong analytical skills, this position will require a high degree of initiative, autonomy, and scientific collaboration.
Responsibilities:
Requirements:
Education:
All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities
Job application link: