Postdoctoral Researcher: Privacy‑Preserving Genomic Graphs

1000scholars; Cambridge; On-site; GBP 36,000 - 48,000; Full time

Job summary

The University of Cambridge invites applications for a Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy within the Department of Applied Mathematics and Theoretical Physics. The successful candidate will develop privacy-preserving methods for human pangenome references and collaborate with Dr Gamze Gursoy's group.

Applicants should have a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related

Qualifications

• PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or related field.
• Strong programming skills and quantitative research experience.
• Interest in privacy, genomics, and interdisciplinary collaboration.

Responsibilities

• Develop and manage privacy-preserving methods for human pangenome references.
• Collaborate with interdisciplinary team and contribute to publications and conferences.

Skills

Statistics

Graph theory

Optimization

Differential privacy

Algorithms

Computational genomics

Education

PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or related field

Job description

The University of Cambridge invites applications for a Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy within the Department of Applied Mathematics and Theoretical Physics. The successful candidate will develop privacy-preserving methods for human pangenome references and collaborate with Dr Gamze Gursoy's group.

Applicants should have a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related