Scientist / Senior Scientist, Computational Biology
Core
Design and execute computational strategies to analyze and integrate multi-omics data (bulk/single-cell transcriptomics, epigenomics, spatial transcriptomics, proteomics) to support aging and rejuvenation research.
Role type
Senior IC computational biologist (omics)
Builds
Bioinformatic pipelines, statistical models, machine learning approaches, and interactive visualization tools for biological insights.
Domain
Biotech / Aging and Rejuvenation / Multi-omics
Deliverable
production ML models
Required skills
Python, R, statistical analysis, machine learning, multi-omics data integration, reproducible workflow development, scientific literature synthesis
Preferred skills
cellular aging/rejuvenation biology, single-cell/spatial omics, long-read sequencing, deep learning/generative modeling, cloud computing (AWS), Nextflow
Technologies
Python, R, Nextflow, AWS
Responsibilities
Design and execute computational strategies for multi-omics data; Develop and implement robust bioinformatic pipelines and ML approaches; Collaborate with wet-lab scientists to translate biological questions; Evaluate and synthesize scientific literature; Build interactive visualization tools; Maintain reproducible records of analyses; Present findings in internal meetings.
Seniority
Senior, hands-on IC
