Nextonic Solutions is seeking a Bioinformatics/Data Scientist to support the Standardized Organoid Model Center at the NIH in Frederick, MD. The role is crucial for advancing organoid research by developing validated, reproducible, and well-characterized organoid models through comprehensive multi-omics data analysis.
Requirements
- Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
- Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
- Knowledge of proteomics and metabolomics data analysis workflows is necessary.
- Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
- Experience with high-performance computing environments and version control systems is desirable.
Responsibilities
- Conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues.
- Characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.
- Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
- Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
- Integrate SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
- Contribute to manuscript preparation and presenting findings at scientific conferences.
Other
- Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
- Close collaboration with experimental teams to interpret results and guide protocol optimization.
