Senior Scientific Software Engineer, Analytics and Workflows
South San Francisco, United States
USD 142K-264K Senior-level Full Time Found 10d ago
Tasks
- Analyze large biological datasets
- Collaborate with interdisciplinary teams
- Deliver complete software projects
- Develop reusable software components
- Establish workflows
- Evaluate and refine analytical workflows
- Integrate multimodal biological data
- Maintain tools for transcriptomics and epigenetics analysis
- Manage data quality and lineage
- Support biological interpretation of data
- Work with data interfaces and programmatic APIs
Perks/Benefits
- Academic and industry seminars
- Access to large datasets
- Collaborative research environment
- Professional development opportunities
- State-of-the-art technology
- Work-life balance
Skills/Tech-stack
APIs | Bioconductor | Bulk data | Bulk data analysis | Data Analysis | Data Lineage | Data Management | Data Processing | Data Quality | FAIR | FAIR data management | FAIR-Data | FastAPI | H5 | Multimodal Data | Multimodal Data Processing | Package development | Pandas | Parquet | Plumber | Polars | Python | R Package Development | Reproducible analysis | Shiny | Single cell data | Single-Cell Data Analysis | Single-cell | Software Engineering | Statistical Analysis | Streamlit | Tidyverse | Tiledb | Zarr
Regions
Countries
States
Language: en |
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