Scientist, Computational Biology
Tasks
- Apply statistical machine learning and bioinformatics methods to improve assay performance
- Build internal tools dashboards and user interfaces for data exploration and interpretation
- Create literature and knowledge based contextualization workflows using responsible LLMs
- Develop analytical frameworks for marker cohort and disease state comparisons
- Develop computational pipelines for proteomics transcriptomics and assay data
- Ensure reproducible version controlled analyses with data provenance and code quality standards
- Integrate multi modal biological datasets identify biomarkers and assay features
- Maintain expertise in computational biology liquid biopsy and biomarker discovery
- Partner with biologists and assay developers to design experiments and validate hypotheses
- Translate analysis results into biological and strategic recommendations
Perks/Benefits
Skills/Tech-stack
Bioinformatics | Computational pipelines | Data Normalization | Data Quality | Data integration | Data provenance | Data quality control | Feature extraction | Language Models | Large Language Models | Machine Learning | Mass Spectrometry | NGS | Neural Networks | Proteomics | Python | Quality Control | R | RNA Sequencing | Random Forest | Single-cell | Single-cell RNA-sequencing | Statistical inference | Support Vector Machines | Transcriptomics | Transformers | Vector machines | Version control
Education
Roles
Regions
Countries
States
Cities
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