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 1,400 DKMS colleagues, we would like to continue working towards this goal together with you and over 12.5 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 world's 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 in Dresden as a Bioinformatician (m/f/d) (Full-time, permanent).
You will develop and implement bioinformatics solutions for genetic and genomic data analyses with a focus on next-generation sequencing (NGS) applications in HLA genotyping and immunogenetics. You will work on data processing pipelines, statistical analyses, and software development to support our laboratory's mission in the fight against blood cancer.
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 NGS and third-generation (nanopore) sequencing data
Apply data science and machine learning techniques to optimize data-driven procedures
Process, systematize and transform high-throughput biological data
Collaborate with internal teams and external partners on scientific projects
Support users and other departments in solving bioinformatics problems
Document processes, interprete results and create user-friendly interfaces for bioinformatics tools
Master's 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/third-gen 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)
Good understanding of molecular biology principles, preferably in the field of immunogenetics
Experience with population genomics and/or machine learning is a plus
Good English skills (written and spoken)
Strong analytical and problem-solving abilities
Excellent communication and teamwork skills
Competitive remuneration model with additional benefits such as capital-forming benefits and a company pension scheme
Flexible working hours, a modern working environment, and a family-friendly company culture
Opportunity for mobile working (up to 125 days per year)
30 vacation days per year, plus additional special leave for personal events
Comprehensive continuing education and training opportunities
Diverse and interesting health offers (e.g., job bike, health courses in cooperation with a major health insurance company)
Employee offers within the scope of corporate benefits
An exciting and stimulating working environment focused on innovation and personal development
Collaboration with a team whose work impacts the lives of cancer patients worldwide