Postdoctoral Fellow, AI/ML & Computational Immunology
USA - MA - Cambridge Kendall Sq. 610 Main, United States
USD 64K-107K Senior-level Full Time
Tasks
- Apply interpretable machine learning to nominate therapeutic targets
- Build training validation datasets and benchmarking metrics
- Collaborate with wet lab and translational teams to validate findings
- Communicate results through presentations and manuscripts
- Create end to end analysis pipeline with reproducible workflows
- Deploy framework across internal and public datasets
- Develop deep learning models to detect deconvolve efferocytosis events from omics data
- Integrate model outputs with macrophage state transition biology
Perks/Benefits
- 401k matching
- Health insurance
- Medical leave
- Paid Holidays
- Paid caregiver leave
- Paid parental leave
- Paid personal days
- Paid vacation
- Relocation assistance
- Relocation support
- Retirement savings contribution
- Worksite flexibility
Skills/Tech-stack
Benchmarking | Causal Inference | Cloud Computing | Curation | Data Preprocessing | Data Visualization | Data integration | Deep learning | Feature attribution | Graph Neural Networks | HPC | Machine Learning | Model Evaluation | Model Interpretability | Neural Networks | Python | R | RNA Sequencing | Reproducible Workflow | Single-cell | Single-cell RNA-sequencing | Spatial transcriptomics | Transformers | Variational Autoencoder
Education
Regions
Countries
States
Cities
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