Computational Biologist
Worcester, MA, United States
USD 85K-120K (estimate) Mid-level Full Time
Tasks
- Analyze ATAC-seq data
- Analyze proteomics data
- Analyze spatial transcriptomics data
- Build interactive data visualizations
- Build predictive models
- Conduct causal inference
- Conduct mediation analysis
- Develop analysis methods
- Integrate genetic, molecular, and clinical data
- Model disease temporal dynamics
- Perform clustering
- Perform trajectory inference
- Present results in meetings and conferences
- Process bulk RNA seq data
- Process single-cell RNA-seq data
- Reconstruct regulatory networks
Perks/Benefits
- N/A
Skills/Tech-stack
ATAC sequencing | Association Testing | Bayesian Networks | Bayesian hierarchical modeling | Bulk RNA sequencing | Causal Inference | Cloud Computing | Clustering | Data Visualization | Docker | Fine-mapping | Genotype imputation | HPC | Hierarchical modeling | Linear Regression | Longitudinal Modeling | Machine Learning | Mixed-effects | Mixed-effects models | Network Reconstruction | Nextflow | Proteomics | Python | R | RNA Sequencing | Regulatory Network Reconstruction | Reproducible Research | Single-cell | Single-cell RNA-sequencing | Singularity | Snakemake | Spatial transcriptomics | Statistical modeling | Trajectory inference | Unix/Linux | Workflow Management
Education
Regions
Countries
States
Cities
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