Postdoc: AI-Driven Cancer Genome Reconstruction

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Fully funded position

Professional development opportunities

Access to HPC clusters

Dynamic, interdisciplinary environment

Two-year appointment

Job summary

Genome Institute of Singapore (GIS) invites applications for a highly motivated postdoctoral researcher in the Laboratory of AI in Genomics. The role focuses on assembling cancer genomes using traditional algorithms and AI, with emphasis on graph-based approaches and cross-genome comparisons for improved cancer genomics analyses.

Join a collaborative team led by Prof. Mile Sikic, working at the heart of Singapore's biomedical hub.

Qualifications

• PhD in computer science, applied mathematics, or related field.
• Proven experience in algorithms on genome sequences and graphs.
• Publication record in top-tier journals or bioinformatics conferences.
• Strong experience in C/C++, Rust and Python programming and solid software engineering skills.
• Structured, independent, proactive and collaborative working style.

Responsibilities

• Develop overlap between reads from cancer and normal genomes.
• Simplify cancer genome graphs while preserving normal genome haplotypes and subclonal haplotypes.

Skills

C/C++/Rust

Python

Algorithms

Research

Publications

Education

PhD in CS or related field

Job description

Genome Institute of Singapore (GIS) invites applications for a highly motivated postdoctoral researcher in the Laboratory of AI in Genomics. The role focuses on assembling cancer genomes using traditional algorithms and AI, with emphasis on graph-based approaches and cross-genome comparisons for improved cancer genomics analyses.

Join a collaborative team led by Prof. Mile Sikic, working at the heart of Singapore's biomedical hub.