Bioinformatiker

Bioinformatiker

Job-ID: 21174

DKMS Life Science Lab gGmbH

Dresden, DE

A good job can make a huge difference. With us, even a second chance at life!

As a leading international non-profit organization in the fight against blood cancer, our goal is to give as many blood cancer patients as possible a second chance at life and to provide access to stem cell transplants. In order to help even more patients, we need regular reinforcements from committed and highly qualified staff members with personality. In a worldwide network of around 1,600 DKMS colleagues, we would like to continue working towards this goal together with you and over 13.0 million registered donors.

The DKMS Life Science Lab gGmbH in Dresden carries out the molecular typing of the HLA characteristics of all DKMS donors in the fight against blood cancer and is the worlds largest HLA tissue typing laboratory. Our laboratory, which is accredited according to international guidelines, sequences more than one million samples provided by DKMS donors every year. Our success builds on continuous research, aiming at taking advantage of the latest innovations in molecular biology and next generation sequencing and adapting those to the field of immunogenetics.

The Bioinformatics department at DKMS Life Science Lab gGmbH focuses on the analysis and integration of complex biological data, the development of computer-assisted methods for genotyping, and the design, implementation, and operation of complex software systems and analysis pipelines. We are now seeking a highly skilled and motivated individual to join our team as a Bioinformatician (m/f/d) in a full-time and permanent position.

YOUR RESPONSIBILITIES:

• Develop and implement software solutions for the processing, analysis, and interpretation of data from routine workflows and research projects

• Create algorithms for genotyping, characterization, and quantification of relevant molecular markers

• Design and optimize data analysis pipelines for Illumina and ONT sequencing data

• Apply data science and machine learning techniques to optimize data-driven procedures

• Process, systematize, and transform high-throughput biological data in containerized HPC and CI/CD environments

• Collaborate with internal teams and external partners on scientific projects

• Support users and other departments in solving bioinformatics problems

• Document processes, interpret results, and create user-friendly interfaces for bioinformatics Tools

OUR REQUIREMENTS:

• Masters degree in Bioinformatics, Computational Biology, or a related field (Biology, Computer Science with biological focus)

• Strong programming skills in R and/or Python

• Experience with NGS and long-read sequence data analysis and genomic data processing

• Knowledge of statistical methods and data visualization techniques

• Familiarity with Linux/Unix-based operating systems and shell scripting

• Experience with version control systems (Git) and familiarity with CI/CD pipelines

• Understanding of containerization concepts and experience in HPC environments as well as molecular biology principles, preferably in the field of immunogenetics

• Experience with population genomics and/or machine learning is a plus

• Good language skills in English and German (written and spoken)

• Strong analytical and problem-solving abilities in combination with excellent communication and teamwork skills

WHAT WE OFFER

• A meaningful job that gives people a second chance at life