Bioinformatician I — Splicing & Genomics Research

JAX

Farmington (CT)

On-site

USD 65,000 - 109,000

Full time

9 days ago

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Job summary

The Jackson Laboratory in Farmington, CT seeks a Bioinformatician I to develop algorithms and software for studying dysregulated RNA splicing in human disease. You will translate biomedical questions into computational approaches and apply them to bulk, single-cell, and spatial transcriptomics data.

Working with the PI and collaborators, you will benchmark methods, interpret results mechanistically, and contribute to manuscripts and grants.

Qualifications

  • BS degree in Bioinformatics or relevant biological sciences with 2+ years of professional bioinformatics work experience or MS/PhD preferred.
  • Experience with splicing analysis of transcriptomic data and understanding of RNA biology.

Responsibilities

  • Design, implement, test, and benchmark novel algorithms and statistical or machine-learning models for splicing analysis (event detection, differential splicing, isoform-level analysis, variant effects).
  • Lead method development from concept to manuscript-ready stage and co-author publications.
  • Apply methods to patient-derived and public datasets (bulk, single-cell, spatial) to identify disease-associated splicing changes and their regulators.
  • Build version-controlled, containerized pipelines (Nextflow) and release tools for reproducibility.

Skills

Python
R
Bash
Nextflow
Machine learning
Statistics
RNA biology
Genomics
Splicing analysis
HPC
Cloud compute

Education

Bachelor's degree in Bioinformatics or related field
Master's degree in Bioinformatics or related field
PhD in bioinformatics or related field

Tools

Nextflow

Job description

The Jackson Laboratory in Farmington, CT seeks a Bioinformatician I to develop algorithms and software for studying dysregulated RNA splicing in human disease. You will translate biomedical questions into computational approaches and apply them to bulk, single-cell, and spatial transcriptomics data.

Working with the PI and collaborators, you will benchmark methods, interpret results mechanistically, and contribute to manuscripts and grants.

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