Postdoctoral Bioinformatics for AI-Driven Breast Cancer

Karolinska Institutet; Solna kommun; On-site; SEK 420,000 - 540,000; Full time

Benefits offered by this job

Benefits through collective agreement

Job summary

Karolinska Institutet in Sweden invites applications for a postdoctoral researcher in the Oncology-Pathology department, based at BioClinicum in Solna. The project focuses on breast cancer multi-omics analyses using AI-assisted methods and large-scale datasets.

The successful candidate will analyze genomic, transcriptomic, DNA methylation data, develop computational pipelines, and collaborate with KI, KTH, and Science for Life Laboratory. A strong bioinformatics background is required.

Qualifications

• PhD in bioinformatics, computational biology, molecular biology, computer science, or equivalent.
• Proficiency in scripting languages (R/Python) and Linux command line.
• Experience with sequencing data analysis and multi-omics integration.
• Strong data management and documentation skills.
• Excellent written and spoken English.

Responsibilities

• Analyze genomic, transcriptomic, and DNA methylation data.
• Develop and maintain pipelines for genomic and transcriptomic analyses.
• Work with single-cell and spatial omics data.
• Apply biostatistical methods to clinical cohort data.
• Collaborate with clinicians, bioinformaticians, and computational scientists.
• Publish findings in peer-reviewed journals.

Skills

R/Python scripting

Linux command-line

Data management

Excellent English communication

Biostatistics experience

Team collaboration

Education

PhD in bioinformatics, computational biology, molecular biology, computer science, or equivalent

Tools

AI software

Genomic databases (TCGA, COSMIC, dbSNP)

Single-cell/spatial omics tools

Job description

Karolinska Institutet in Sweden invites applications for a postdoctoral researcher in the Oncology-Pathology department, based at BioClinicum in Solna. The project focuses on breast cancer multi-omics analyses using AI-assisted methods and large-scale datasets.

The successful candidate will analyze genomic, transcriptomic, DNA methylation data, develop computational pipelines, and collaborate with KI, KTH, and Science for Life Laboratory. A strong bioinformatics background is required.