Data Scientist for Spatial Omics
16 hours ago
About the Role
The University of Texas MD Anderson Cancer Center is seeking a highly motivated and enthusiastic Senior Data Scientist to join our team in the Institute for Data Science in Oncology (IDSO). The successful candidate will lead the development and optimization of spatial multi-omics pipelines for commonly employed platforms, including spatial transcriptomics, proteomics, metabolomics, genomic, microbiome, antigen receptor profiling, tissue and molecular imaging, and other related omics platforms.
Key Responsibilities
- Participate in the design, development, and optimization of spatial multi-omics pipelines.
- Benchmark computational methods and toolkits to ensure best practices and excellence in data processing and analysis.
- Develop computational tools as needed for new technologies and integrate them with existing platforms.
- Ensure scalability and efficiency of the pipelines to handle large and complex datasets.
- Conduct rigorous testing and validation of computational tools to ensure accuracy and reproducibility.
- Develop interactive web portals for effective data exploration and visualization.
Requirements
- Ph.D. degree in computer science, quantitative science, data science, bioinformatics, biostatistics, or a related field.
- Experience with best practices in spatial omics data analysis, including multimodal data integration.
- Demonstrated ability to develop, optimize, and maintain bioinformatics pipelines.
Salary Information
The estimated annual salary for this role is $120,000-$150,000 depending on experience and qualifications.
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