Bioinformatician - Splicing & Single-Cell Genomics

The Jackson Laboratory; Farmington (CT); On-site; USD 65,000 - 109,000; Full time

Job summary

The Jackson Laboratory in Farmington, CT seeks a bioinformatician to develop algorithms and software for analyzing splicing in bulk, single-cell, and spatial transcriptomics. You will own method development, benchmark new approaches, and collaborate with the PI and experimental teams to translate questions into reproducible workflows.

Responsibilities include applying methods to diverse datasets, integrating multi-omics data for mechanistic interpretation, and contributing to manuscripts and

Qualifications

• Bachelor’s degree in Bioinformatics or related field.
• PhD preferred in bioinformatics or related field.
• Deep knowledge of RNA biology and genomics.
• Experience with splicing analysis of transcriptomic data.
• Proficiency in Python, R, and Bash; Nextflow experience.
• Experience developing algorithms in machine learning, statistics, or genomics.
• Software engineering practices: version control, automated testing, containerization, and documentation.
• Experience with single cell and/or spatial transcriptomics.
• Ability to read, critique, and apply primary literature.
• Ability to lead projects and work independently with limited supervision.

Responsibilities

• Design, implement, test, and benchmark novel algorithms and statistical or machine-learning models for splicing analysis, such as event detection and quantification, differential splicing, isoform-level analysis, and prediction of variant effects on splicing.
• Lead method development through to manuscript-ready stage, serving as co-author on resulting publications.
• Apply these methods to patient-derived, model-system, and public datasets, bulk and single-cell, to identify disease-associated splicing alterations, their upstream drivers, and their downstream consequences.
• Integrate splicing data with other modalities, such as genomic variation, long-read transcriptomics, epigenomic, and proteomic data, to support mechanistic interpretation.
• Build version-controlled, containerized, documented pipelines (Nextflow) and release tools openly so that analyses are reproducible by external groups.
• Work with the PI and experimental collaborators to define questions, design validation experiments, and interpret results.
• Present pipelines, methods, and results at internal meetings and external conferences, and contribute to manuscripts and grant applications.
• Keep current with the splicing, RNA biology, and computational genomics literature, and mentor junior staff and trainees as needed.

Skills

Python

R

Bash

Nextflow

Machine learning

Statistics

Version control

Containerization

HPC

Single-cell analysis

Education

Bachelor’s degree

PhD preferred

Tools

Git

Docker

Kubernetes

Job description

The Jackson Laboratory in Farmington, CT seeks a bioinformatician to develop algorithms and software for analyzing splicing in bulk, single-cell, and spatial transcriptomics. You will own method development, benchmark new approaches, and collaborate with the PI and experimental teams to translate questions into reproducible workflows.

Responsibilities include applying methods to diverse datasets, integrating multi-omics data for mechanistic interpretation, and contributing to manuscripts and