Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
About the role
- Research Assistant supporting a research project focused on detecting power outages caused by natural hazards using satellite image data. Involves data processing, analysis, visualization, and preparation of written deliverables.
Responsibilities
- Process and analyze satellite imagery to detect power outages and assess data quality.
- Develop and apply geospatial and statistical techniques for data interpretation.
- Create visualizations, including maps, charts, and reports, to effectively communicate findings.
- Prepare written summaries and documentation of methods and results.
- Conduct troubleshooting and refine analysis workflows as needed.
- Mentor team members on programming and data analysis techniques.
- Actively participate in research discussions and provide input on methodological improvements.
Requirements
- Bachelor's degree in geospatial science, environmental science, data science, computer science, or a related field;
- experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools;
- experience with programming languages such as Python, R, Markdown;
- familiarity with satellite imagery processing (e.g., VIIRS, MODIS, Sentinel, Landsat).
- strong analytical and problem-solving skills;
- ability to work independently and meet deadlines.
Benefits
- A criminal background check is required.
- All campuses are smoke- and tobacco-free campuses.
- This organization participates in E-Verify.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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