Researcher: Precision Medicine & High-Content Imaging

Arbeidsplassen; Trondheim; On-site; NOK 600,000 - 730,000; Full time

Benefits offered by this job

GPU workstation access

International collaboration

Job summary

NTNU – Norwegian University of Science and Technology is seeking a researcher for the ERKetype project in Trondheim. The role focuses on computational high-content imaging analysis, Cell Painting and integration with multi-omics and clinical data.

You will develop reproducible Python-based analysis pipelines, collaborate with SINTEF Industry and NTNU partners, and contribute to publications and project milestones. The position is anchored in FlobakLab, with access to GPU resources.

Qualifications

• PhD or equivalent in a relevant field.
• Experience with high-content imaging and Cell Painting.
• Strong Python programming for scientific data analysis.
• Experience with reproducible research practices, including documentation of code and workflows.

Responsibilities

• Analyse Cell Painting and high-content imaging data from drug-screening experiments in cancer models.
• Develop reproducible image-analysis workflows with CellProfiler-based segmentation and feature extraction.
• Create Python-based pipelines for preprocessing, normalization and statistical analysis of large imaging datasets.
• Extract and interpret morphological drug-response signatures at single-cell and population levels.
• Integrate imaging-derived phenotypes with omics and clinical data for modelling and interpretation.
• Contribute to data management, documentation and sharing of workflows within ERKetype.
• Contribute to publications, conference talks and project deliverables.

Skills

Python

Image analysis

High-content imaging

Cell Painting

English proficiency

Education

PhD or equivalent

Tools

CellProfiler

Job description

NTNU – Norwegian University of Science and Technology is seeking a researcher for the ERKetype project in Trondheim. The role focuses on computational high-content imaging analysis, Cell Painting and integration with multi-omics and clinical data.

You will develop reproducible Python-based analysis pipelines, collaborate with SINTEF Industry and NTNU partners, and contribute to publications and project milestones. The position is anchored in FlobakLab, with access to GPU resources.