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Senior Statistical Geneticist / Computational Biologist

Illumina

United States

Remote

USD 60,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative company is seeking world-class computational scientists to develop deep learning algorithms for genomic data analysis. This role offers the chance to impact human health by deciphering genetic variants and improving clinical sequencing. You will lead scientific collaborations and publish research that enhances the accuracy and adoption of genome interpretation. Join a team dedicated to transforming genomic technology and making a difference in the lives of billions. If you are passionate about genomics and AI, this is an exciting opportunity to shape the future of healthcare.

Qualifications

  • Expert in deep learning and genomics with strong analytical skills.
  • Ability to present complex scientific ideas to diverse audiences.

Responsibilities

  • Lead the development of algorithms for diagnosing genetic variants.
  • Collaborate with academic and industry partners on scientific projects.

Skills

Deep Learning
Statistics
Genomics
Communication Skills
Analytical Skills

Education

MD or PhD in Computer Science
PhD in Genetics
PhD in Computational Biology

Job description

What if the work you did every day could impact the lives of people you know? Or all of humanity?

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 the early detection and diagnosis of diseases and new treatment options for patients. 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.

Expression of Interest for future opportunities in Deep Learning AI Bioinformatics

Based in the UK, Cambridge, Hub and Hybrid, onsite or Remote.

Additional location: Singapore, Woodlands - Onsite only

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 represent 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 expressions of interest 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:

  • Lead the development of novel algorithms for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records with 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.
  • Listed responsibilities are essential, but not exhaustive, and changes to individual responsibilities may occur due to business needs.

Position Requirements:

  • Expert in deep 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.

All listed requirements are deemed 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 a related field.

Please note this is an expression of interest for future roles in this team with potential start dates throughout 2024/2025.

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