Postdoc: Privacy-Preserving Genomics & Graph Algorithms

Data Science Jobs UK; Cambridge; On-site; GBP 37,000 - 46,000; Full time

Job summary

Data Science Jobs UK in Cambridge invites applications for a Postdoctoral Research Associate in mathematical and statistical methods for genome privacy. The role focuses on developing new mathematical and computational methods for privacy-preserving human pangenome references.

The successful candidate will explore differentially private constructions, privacy-aware graph algorithms, and optimization of large genomic graphs, with emphasis on collaboration and high-impact publications.

Qualifications

• PhD required or near completion.
• Strong background in statistics, graph theory, or privacy.
• Experience with algorithms and numerical optimization is advantageous.

Responsibilities

• Develop and advance mathematical and computational methods for genome privacy.
• Lead or contribute to publications, seminars and conferences.
• Collaborate with cross-disciplinary teams to shape the research direction.
• Manage and progress own research with guidance from PI.

Skills

Statistics

Graph theory

Differential privacy

Optimization

Algorithms

Computational genomics

Education

PhD

Job description

Data Science Jobs UK in Cambridge invites applications for a Postdoctoral Research Associate in mathematical and statistical methods for genome privacy. The role focuses on developing new mathematical and computational methods for privacy-preserving human pangenome references.

The successful candidate will explore differentially private constructions, privacy-aware graph algorithms, and optimization of large genomic graphs, with emphasis on collaboration and high-impact publications.