Bioinformatician I
Core
Develop algorithms and computational resources to analyze dysregulated RNA splicing in human disease, turning biomedical questions into reproducible software for bulk, single-cell, and spatial transcriptomic data.
Role type
Bioinformatician I (IC, method development)
Builds
Version-controlled, containerized pipelines (Nextflow) and open-source tools for splicing analysis
Domain
Biomedical research, genomics, RNA biology
Deliverable
production ML models
Required skills
Python, R, Bash, Nextflow, machine learning, statistics, RNA biology, genomics, single-cell/spatial transcriptomics, HPC/cloud compute, software engineering practices
Preferred skills
PhD in bioinformatics/biology, deep-learning models, long-read RNA sequencing, isoform-level analysis, human cohort data (TCGA/GTEx/dbGaP), splicing QTL analysis
Technologies
Nextflow, Python, R, Bash, HPC, cloud compute
Responsibilities
Design and benchmark novel algorithms for splicing analysis; lead method development to publication; apply methods to patient-derived and public datasets; integrate multi-omics data; build and maintain reproducible pipelines; collaborate with PIs on experimental design; present findings at conferences; mentor junior staff
Seniority
Junior to Mid-level, hands-on IC