Industry PhD Student – Illumina Artificial Intelligence Lab – joint with NUS / NTU – Woodlands, Singapore at Illumina

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Genomics, Biotechnology, Artificial IntelligenceIndustries

Requirements

Expert in deep learning and computational biology algorithms
Strong analytical skills
High degree of initiative and autonomy
Scientific collaboration skills

Responsibilities

Develop novel statistical and deep learning algorithms for classifying variants of unknown significance
Integrate clinical phenotypes, functional genomics, selective constraint, and protein structure into variant classification
Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners
Publish and disseminate research findings in peer-reviewed journals
Incorporate research results into software products

Skills

Key technologies and capabilities for this role

Deep LearningComputational BiologyStatistical AlgorithmsFunctional GenomicsWhole Genome SequencingVariant ClassificationProtein StructureSingle Cell DataGene ExpressionPopulation Sequencing

Questions & Answers

Common questions about this position

What is the salary for this PhD position?

This information is not specified in the job description.

Is this position remote or hybrid, and where is it located?

The position is hybrid and located in Woodlands, Singapore.

What skills are required for this Industry PhD Student role?

Candidates need to be an expert in deep learning and computational biology algorithms, with strong analytical skills, a high degree of initiative and autonomy, and scientific collaboration skills.

What is the company culture like at Illumina?

Illumina focuses on expanding access to genomic technology to realize health equity, enabling life-changing discoveries in human health through early disease detection and new treatments.

What makes a strong candidate for this PhD position?

A strong candidate will have expertise in deep learning and computational biology, strong analytical skills, initiative, autonomy, and the ability to collaborate scientifically, with a focus on publishing research.

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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