Bioinformatics Assistant - ML for Regulatory Genomics

Karolinska Institutet; Stockholms kommun; On-site; SEK 401,760 - 535,680; Full time

Job summary

Karolinska Institutet seeks a research assistant in bioinformatics applied to machine learning to support regulatory genomics research on CNS repair. You will work with deep learning models and multi-omics datasets to drive translational insights.

Join a vibrant team at Biomedicum Solna, contributing to high-impact genomics research and collaboration with clinicians and experimentalists in a dynamic, international environment.

Qualifications

• MSc degree in bioinformatics, computational biology, biotechnology, or related field.
• Experience in analysis of single-cell and/or spatial genomics datasets.
• Proficiency in R and/or Python for data analysis and visualization.

Responsibilities

• Analyze single-cell and spatial multiome datasets (transcriptomics and epigenomics) from mouse models and human patient samples to study gene regulation underlying injury response mechanisms.
• Support the development and application of deep learning models to predict activity and specificity of gene therapy constructs.
• Collaborate with experimental researchers to link computational predictions with genomics validation strategies.

Skills

R

Python

Single-cell analysis

Epigenomics

English proficiency

Education

MSc in bioinformatics / computational biology / biotechnology

Tools

R

Python

Deep learning (TensorFlow/PyTorch)

Job description

Karolinska Institutet seeks a research assistant in bioinformatics applied to machine learning to support regulatory genomics research on CNS repair. You will work with deep learning models and multi-omics datasets to drive translational insights.

Join a vibrant team at Biomedicum Solna, contributing to high-impact genomics research and collaboration with clinicians and experimentalists in a dynamic, international environment.