Principle Investigator

US01 Illumina, Inc.
Bay Area, US Full Time
POSTED ON 5/13/2022 CLOSED ON 10/28/2022

Job Posting for Principle Investigator at US01 Illumina, Inc.

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 machine 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, 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. Responsibilities: Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data. Lead 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. Requirements: Expert in deep learning, statistics, proteinomics and/or 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: BSc/MS: 12 years of experience MD or PhD: 6 years of experience in computer science, genetics, computational biology, or related field. Concerns regarding COVID-19 continue as positive cases are experienced in the communities in which we operate. Please be aware that, as a condition of employment, Illumina may require proof of COVID vaccination in accordance with local statutory requirements (subject to limited exceptions) beginning November 1, 2021. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. 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. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
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