Computational Biologist, Tree of Life
Core
Design and run pipelines for population- and comparative-genomic analysis across non-model organisms, assembling genomes and integrating diverse biological datasets to connect genotype to phenotype.
Role type
Senior IC computational biologist (population/comparative genomics)
Builds
Genomic analysis pipelines and integrated biological insights for non-model organisms
Domain
Biology, Genomics, Evolutionary Biology
Deliverable
production ML models | product features
Required skills
Population genomics, Comparative genomics, Organellar genetics, Python, R, Variant calling, Genome assembly, Pan-genome analysis, Machine learning, Cloud computing, Scientific communication
Preferred skills
Long-read sequencing analysis, Structural variation analysis, Foundation models for biological sequences, Wet-lab collaboration
Technologies
GATK, bcftools, vcftools, PLINK, ANGSD, scikit-allel, Nextflow, Snakemake, Biopython, Bioconductor, pandas, AWS, Google Cloud, Azure
Responsibilities
Design and run pipelines for population- and comparative-genomic analysis; Assemble, annotate, and curate genomes and pan-genomes for organisms with no existing reference; Analyze nuclear and organelle genome variation; Apply machine learning for predictive modeling; Partner with wet-lab scientists to design experiments and interpret results; Present work and mentor teammates
Seniority
Senior, hands-on IC