Senior Scientist II, Bioinformatics (Spatial Proteomics and Single Cell Omics)
Cambridge, MA, United States
USD 106K-202K (estimate) Senior-level Full Time
Tasks
- Analyze high dimensional proteomics and spatial datasets
- Apply machine learning and AI to identify patterns classify disease states prioritize biomarkers
- Build integrated multi omics disease mechanism models
- Communicate analytical methods and results to technical and non technical stakeholders
- Contribute to scientific publications and conference presentations
- Develop and maintain computational workflows for spatial proteomics and multi omics data
- Integrate proteomics with transcriptomics and other omics modalities
- Perform image based protein quantification using imaging mass cytometry
Perks/Benefits
- 401k
- Dental insurance
- Long-term incentive
- Medical insurance
- Paid time off
- Short-Term Incentive
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Biomarker Discovery | Classification | Clustering | CyTOF | Data Modeling | Data integration | Differential Analysis | Differential Spatial Workflows | Dimensionality Reduction | Feature Engineering | Flow Cytometry | Image analysis | Imaging mass cytometry | Machine Learning | Neighborhood analysis | Network Dynamics | Normalization | Proteomics | Python | Quality Control | R | Single cell omics | Single-cell | Spatial proteomics | Spatial workflows | Statistical Analysis | Unix/Linux
Education
Roles
Regions
Countries
States
Cities
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