Bioinformatics Specialist - Evolutionary Genomics (2-Year)

Genetik, økologi og evolution; Denmark; On-site; DKK 420,000 - 480,000; Full time

Benefits offered by this job

Research infrastructure

Interdisciplinary environment

Job summary

Aarhus University in Aarhus, Denmark, invites applications for a 2-year academic position in evolutionary genomics and bioinformatics. The role focuses on providing bioinformatic and computational support for processing, analyzing, and interpreting genomic data, collaborating with researchers across the Centre for Ecological Genetics.

The position involves developing pipelines, assisting with de novo genome assembly and annotation, and supporting analyses across multiple datasets while

Qualifications

• Master's degree in a relevant field.
• PhD in evolutionary genomics or related field is an advantage.
• Strong background in evolutionary genetics, genomics, population genetics, bioinformatics.
• Experience with coding and development of bioinformatic pipelines.

Responsibilities

• Provide bioinformatic and computational support for processing genomic data.
• Assist with whole-genome sequencing data QA/QC for downstream analyses.
• Develop and optimize bioinformatic workflows and pipelines.
• Support genomic analyses of individual and pooled resequencing data.
• Collaborate with staff, students and faculty on genomic-related projects.

Skills

Evolutionary genetics

Genomics

Population genetics

Bioinformatics

Coding

Pipeline development

Large genomic data handling

Education

Master's degree in a relevant field

PhD in evolutionary genomics (advantage)

Tools

Bioinformatic pipelines

Job description

Aarhus University in Aarhus, Denmark, invites applications for a 2-year academic position in evolutionary genomics and bioinformatics. The role focuses on providing bioinformatic and computational support for processing, analyzing, and interpreting genomic data, collaborating with researchers across the Centre for Ecological Genetics.

The position involves developing pipelines, assisting with de novo genome assembly and annotation, and supporting analyses across multiple datasets while