About the role#
The Data Scientist Fellow will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. You will characterize organoid fidelity, identify biomarkers of successful differentiation, and develop computational frameworks for quality assessment. This position offers training in integrative analysis of single-cell and multi-omics data and is designed to prepare you for an independent research career in academia, government, or industry.
What you'll do#
- Analyze single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics datasets from organoid systems and tissue counterparts.
- Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
- Document pipelines to support reproducible analyses across the Center.
- Integrate Center-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
- Develop and refine analytical approaches, including machine learning methods, to classify cellular states and assess organoid quality.
- Contribute to standardized assessment protocols.
- Work with experimental teams to interpret results and guide protocol optimization.
- Collaborate with computational staff on cross-modality data integration.
- Contribute to manuscript preparation and present findings at scientific conferences.
What you'll need#
- A PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field, completed or anticipated before the appointment starts.
- Extensive experience with single-cell data analysis and familiarity with Seurat, Scanpy, or comparable platforms.
- Strong programming proficiency in R and Python.
- Experience in statistical analysis and data visualization.
- Working knowledge of proteomics and metabolomics data analysis workflows.
- Prior experience analyzing organoid datasets is preferred.
- Experience with machine learning approaches for biological data, pathway analysis tools, and developmental biology principles is preferred.
- Experience with high-performance computing environments and version control systems is preferred.
Location & details#
- Location: Bethesda, Maryland
- Role type: Full-time, on-site
- Term: Rolling
About Axle
Axle is a software development company that provides a universal API for insurance data. The business allows organizations to verify insurance information and track coverage status. It maintains offices in Atlanta and New York City. The company operates with a team of two to ten employees.
How to get in at Axle
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