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A leading genomics technology company in the United Kingdom is seeking an experienced computational scientist to develop novel algorithms for deciphering genetic variants. The ideal candidate holds an MD or PhD in a relevant field and possesses strong analytical and communication skills. The position involves collaboration with academic and industry partners, along with publishing key research findings. Competitive applicants should have expertise in deep learning and statistics.
All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities. Preferred Experience/Education/Skills: MD or PhD in computer science, genetics, computational biology, or related field.
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life‑changing discoveries that are transforming human health through early detection and diagnosis of diseases and new treatment options. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world‑changing projects, you will do more and become more than you ever thought possible. 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 toward 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.