Senior Scientist, Bioinformatics / Computational Biology
US - Cambridge Kendall SQ - MA, United States
USD 115K-172K Senior-level Full Time
Tasks
- Apply machine learning and statistical modeling for biomarkers
- Build optimize and maintain reproducible workflows
- Call variants
- Champion version control and workflow management
- Design robust genomic analyses
- Forecast treatment response
- Generate differential expression analyses
- Integrate LLM powered agentic workflows
- Orchestrate pipelines
- Perform comparative genomics and phylogenetic analyses
- Perform literature mining and data extraction
- Perform pathway enrichment and functional annotation
- Predict antigen immunogenicity
- Present findings to cross functional stakeholders
- Produce publication quality visualizations and reports
- Scale analyses on AWS
- Scale analyses on HPC schedulers
- Stratify patients
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | BWA | Bcftools | Bioconductor | Biomarker Discovery | Bowtie2 | Comparative Genomics | DESeq2 | Differential expression | EdgeR | Ensembl | FeatureCounts | Functional annotation | GATK | GCP | Gene set enrichment | Genome annotation | Genomics | Ggplot2 | Git | GitHub | HPC | HTSeq | Immunogenicity Prediction | LLM | Limma | Linux/Unix | Machine Learning | MsigDB | Multi-Omics | NCBI | Nextflow | PBS | PDB | Pandas | Pathway Enrichment | Patient Stratification | Phylogenetics | Python | R | RNA-seq | Reproducible Research | Retrieval-Augmented Generation | SGE | STAR | Salmon | Scikit-learn | Single-cell | Single-cell Transcriptomics | Slurm | SsGSEA | Statistical modeling | Tidyverse | UniProt | Variant calling | Version control | Workflow Management
Education
Regions
Countries
States
Cities
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