Key Responsibilities
Multi-omics analysis. Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from a range of organoid systems and their tissue counterparts.
Pipeline development. Develop and implement computational pipelines for data processing, quality control, and statistical analysis, and document them so that analyses are reproducible across the Center.
Benchmarking. Integrate SOM-generated data with publicly available datasets in order to benchmark organoid characteristics against normal tissue profiles.
Method development. Develop and refine analytical approaches — including machine learning methods where appropriate — for classifying cellular states and assessing organoid quality, and contribute to standardized assessment protocols.
Collaboration and interpretation. Work closely with experimental teams to interpret results and guide protocol optimization, and collaborate with other computational staff on cross-modality data integration.
Dissemination. Contribute to manuscript preparation and present findings at scientific conferences.
Required Qualifications
Education. Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field, completed or anticipated prior to the start of the appointment.
Single-cell analysis. Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or comparable platforms.
Programming. Strong programming proficiency in R and Python, together with experience in statistical analysis and data visualization.
Omics workflows. Working knowledge of proteomics and metabolomics data analysis workflows.
Preferred Qualifications
Prior experience analyzing organoid datasets.
Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles.
Experience with high-performance computing environments and version control systems.
- Disclaimer: The above description is meant to illustrate the general nature of work and
