Assoc. Scientist, Post Doc Fellow- Data Science for Multi-omics and Biomarker Modeling in Neuroscience
USA - Massachusetts - Cambridge (320 Bent Street), United States
USD 71K-113K Mid-level Full Time
Tasks
- Build multi omics integration models
- Collaborate on study design cohort definition and validation experiments
- Create APIs and reproducible analyses
- Deliver visualizations summaries and well documented reusable code
- Design end to end AI ML pipelines for biomarker discovery
- Develop and innovate ML DL methods for healthcare biomedical data
- Develop patient subtyping and progression prediction models
- Implement ETL ingestion QC normalization harmonization
- Publish papers and present findings
- Validate models and ensure generalization
Perks/Benefits
- 401k
- Compassionate leave
- Dental insurance
- Health insurance
- Paid Holidays
- Retirement benefits
- Sick days
- Vacation
- Vision insurance
Skills/Tech-stack
Biomarker Discovery | Causal Inference | Cell Culture | Cell culture techniques | Computational Biology | Computer Vision | Data Analysis | Data Normalization | Data Quality | Data harmonization | Deep learning | ETL | Graph Neural Networks | Immunoassays | In vivo | In vivo mouse models | Linear Algebra | Machine Learning | Mathematical Biology | Molecular Biology | Mouse models | Multi-Omics | Multi-Omics Integration | Neural Networks | Numerical Methods | Omics integration | Optimization | Probability | PyTorch | Python | Scientific writing | SiRNA Knockdown | Single cell omics | Single-cell | Spatial omics | Statistical Analysis | Synthetic chemistry
Education
Regions
Countries
States
Cities
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