Statistical Geneticist / Computational Biologist

Employer
Illumina
Location
Belmont, California, US
Salary
Competitive
Posted
Apr 28, 2021
Closes
May 07, 2021
Ref
2116228284
Discipline
Genetics
Employment Type
Full time
Salary Type
Salary
Hundreds of million 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 approaches 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 an exceptional computational scientist with a strong quantitative background in statistical genetics and machine learning to work on the development of novel algorithms for genome interpretation. Key objectives would include classification of benign vs pathogenic variants by utilizing whole genomes and functional genomic data and characterizing selective constraint. Algorithms and methods will be published in peer-reviewed journals and released in software products 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:

Develop novel statistical algorithms for classifying variants of unknown significance by integrating information from detailed clinical phenotypes, functional genomics, selective constraint, and protein structure.
Be the primary contributor for scientific collaborations with Illumina's academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims.
Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community.
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Requirements:

Expert in machine learning, statistics, and genomics
Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences.
Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines.
Education:

PhD in computer science, statistical genetics, or computational biology

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