Cutting-Edge Genomics Bioinformatics Analyst

University of Minnesota; Minneapolis (MN); Presencial; USD 78.000 - 84.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical plan

Dental plan

HSA contributions

FSAs

Retirement plans

PSLF opportunity

Transit benefits

Descripción de la vacante

The University of Minnesota in Minneapolis is seeking a full-time Bioinformatics Analyst to support the Department of Microbiology and Immunology. You will design and implement informatics workflows, analyze complex genomics datasets, and collaborate with diverse lab groups to advance translational research.

Ideal candidates have strong experience with NGS analyses (variant calling, assembly, metagenomics, RNA-seq), proficiency in Linux and scripting, and the ability to translate biological aims

Formación

• PhD or equivalent with substantial bioinformatics experience in genomics.
• 3+ years of research experience in genomics, genetics, molecular biology or computational biology.
• Experience developing pipelines for high-throughput sequencing datasets.
• Proficiency with Linux shell, a programming language (R or Python), and common tools.

Responsabilidades

• Serve as a bioinformatics analyst and developer for DMI projects, designing workflows.
• Consult with researchers on experimental design and planning.
• Identify and integrate new molecular technologies and analysis methods.
• Prepare and present methods across reports, literature reviews and seminars.

Conocimientos

NGS analysis

Bioinformatics pipelines

Linux shell

R and/or Python

BWA

HISAT2

GATK

Seurat

Educación

PhD in life sciences, CS or engineering

Herramientas

BWA

HISAT2

GATK

Seurat

Descripción del empleo

The University of Minnesota in Minneapolis is seeking a full-time Bioinformatics Analyst to support the Department of Microbiology and Immunology. You will design and implement informatics workflows, analyze complex genomics datasets, and collaborate with diverse lab groups to advance translational research.

Ideal candidates have strong experience with NGS analyses (variant calling, assembly, metagenomics, RNA-seq), proficiency in Linux and scripting, and the ability to translate biological aims