The Institute of Clinical Genetics at University Carl Gustav Carus Dresden, led by Professor Diana Le Duc, is seeking a highly motivated Computer Science Specialist with strong software engineering skills to join their team. The position focuses on the development and maintenance of clinical bioinformatic applications and diagnostic pipelines, supporting workflows in clinical genetics. Key responsibilities include designing, developing, and maintaining bioinformatic applications using Java and C++, optimizing existing pipelines for NGS data processing, variant calling, data annotation, and quality control, and developing patient portal applications for digital questionnaires used in disease risk calculations. The role also involves implementing new algorithms or software components for data processing, visualization, or reporting.

Applicants should possess a Master's degree (or equivalent) in Computer Science or Bioinformatics, with strong programming experience in Java and C++. Experience with bioinformatic tools and pipelines such as BWA, GATK, SAMtools, Nextflow, and Snakemake is required, along with proficiency in Linux environments, shell scripting, and HPC or cloud infrastructure. Preferred skills include app or UI development (Java-based frameworks, Qt/C++, or mobile application development) and knowledge of databases and APIs (SQL, REST). The ability to work in interdisciplinary teams and communicate effectively with laboratory and clinical staff is essential. German language proficiency is not a prerequisite for this position.

The opportunity is ideal for candidates interested in bioinformatics, computer science, and clinical genetics, offering a dynamic and collaborative work environment. The position is based at University Carl Gustav Carus Dresden, with connections to Universität Leipzig and the University Clinics Dresden. Interested candidates are encouraged to apply via the provided online application link or direct message. No explicit funding or salary details are mentioned in the announcement.

For more information and to apply, visit the application portal or contact Professor Diana Le Duc via LinkedIn.