Expression of Interest for future opportunities in Deep Learning AI Bioinformatics
Our Deep Learning, Research and Development Team, are looking at growing the team in 2024 and we invite those with exceptional deep learning, AI, bioinformatics skills to apply as an expression of interest for future opportunities to work on the development of novel deep learning algorithms for deciphering the effects of genetic variants in the human genome.
Based in the UK, Cambridge, Hub and Hybrid, onsite or Remote
Position Summary:
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 seeking expression of interests from world-class computational scientists 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, transcriptional regulation, 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 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.
Position Responsibilities:
Position Requirements:
All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.
Preferred Experience/Education/Skills:
MD or PhD in computer science, genetics, computational biology, or related field.
Please note this is an expression of interest for future roles in this team with potential start dates throughout 2024/2025.