Scientist, Data Science
Tasks
- Apply machine learning to identify therapeutic targets and biomarkers
- Collaborate with wet lab scientists on target identification
- Conduct NGS data analysis
- Execute and maintain analysis pipelines
- Generate data visualizations and reports
- Integrate multi-omics data
- Present data driven insights to project team
- Process and analyze biobank datasets
- Stay current with data science and bioinformatics tools
- Support biomarker strategy development
Perks/Benefits
- Dental insurance
- Health insurance
- Long-term incentive
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
ATAC-seq | Association studies | Bioinformatics | ChIP-seq | Colocalization | Computational Histology | DNA Methylation | Data Pipelines | Data Visualization | Deep learning | Epigenome-Wide Association Studies | Fine-mapping | Genome wide association | Genome-wide association studies | Genomics | Gradient boosting | Machine Learning | Mendelian randomization | Multiomics integration | NGS | Proteome-Wide Association Studies | Proteomics | Python | R | RNA-seq | Random Forest | Self-Supervised Learning | Self-supervised | Statistical Analysis | Supervised Learning | Transformers | Weakly-Supervised Learning
Education
Regions
Countries
States
Cities
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