Bioinformatics Scientist - Whole Genome Sequencing

Responsibilities

• Develop and maintain reproducible computational workflows for high-throughput whole genome sequencing processing (alignment, variant calling, annotation) and ensure data quality through rigorous quality control, benchmarking, and documentation
• Design and execute population-scale analyses using whole genome sequencing data in collaboration with academic researchers and consortium partners, including integration of multi-cohort genomic datasets under data privacy standards
• Innovate and optimize analytical tools and algorithms to address challenges in large-scale population genomics while staying current with advances in genome technologies and FAIR/open data practices
• Provide bioinformatics support across ongoing research projects and contribute to training graduate students and postdoctoral researchers in computational genomics

This role advances population genomics research through innovative computational methods, contributing to scientific discoveries that can improve understanding of genetic factors in health and disease.

• Experience with whole genome sequencing data processing and analysis
• Proficiency in developing computational workflows and tools for genomics
• Ability to collaborate with academic researchers and consortium partners
• Knowledge of data privacy standards and FAIR/open data practices

No benefits information provided in the job description.

Helmholtz Munich develops groundbreaking solutions for a healthier society in a rapidly changing world through strong partnerships that accelerate the transfer of new ideas from the lab to real-life applications. The Institute of Epidemiology investigates environmental, genetic, and lifestyle influences on human health through population-based epidemiology.