With over 6 million bone marrow donors worldwide, DKMS is the largest bone marrow donor centre in the
world. DKMS leads the fight to delete blood cancer by empowering people to take action, give bone marrow and
save lives. DKMS Life Science Lab, located in Dresden, Germany, performs HLA genotyping of all DKMS donors.
It is one of the world's largest HLA typing labs, equipped with state of the art technology and at the forefront of
For our Life Science Lab in Dresden we are looking for a
Senior Scientist Bioinformatics (f/m)
The bioinformatics team at the DKMS Life Science Lab works at the interface of complex data analysis,
algorithm development and software development to support the HLA genotyping workflow. Rapidly
advancing technologies are enabling the profiling of HLA genotypes at a rate not seen before and are
raising novel questions in statistical analyses and algorithm development.
Since 2013 our lab performs genotyping of HLA markers using Illumina's NGS platforms in combination
with in-house developed reagents and internally developed software for data analysis. Besides large-scale
routine typing operations our lab has always been pioneering the application of novel technologies. We
are engaged in actively exploring the potential of cutting edge NGS technologies (PacBio, Oxford
Nanopore) for HLA typing. We continuously work on including further transplantation-relevant genetic
markers (e.g., KIR, ABO) in our upfront donor typing profile, we characterise novel HLA alleles, and
collaborate on scientific projects that support our fight against blood cancer.
As a member of the bioinformatics team at DKMS Life Science Lab, you will participate in or lead a
variety of research projects, analyse and interpret complex NGS data, and draft manuscripts for
publication in peer-reviewed journals.
You will be involved in developing and testing data analysis infrastructure to enable HLA typing
using single-molecule sequencing technologies.
You will have an opportunity to work on large-scale discovery projects using the latest genomic
sequencing technology including whole genome/exome sequencing.
You will establish and apply comprehensive data analysis pipelines to perform variant calling on
deep-sequencing data sets.
You will develop statistical models to predict medical outcomes from genetic signature data.
You will prepare and deliver presentations at international meetings.
You hold a Ph.D. in bioinformatics, computational biology, statistics, mathematics or a related
You have proven experience in bioinformatics programming (e.g. R/Bioconductor, Python, Perl) in
You have expert knowledge of bioinformatics software and algorithms for next-generation
sequence analysis (i.e. alignment, quality assessment, variant detection, statistical inference)
Sound knowledge of statistics and data analysis
Strong problem-solving skills and scientific creativity
Excellent command of the English language, written and spoken
Familiarity with statistical modelling (e.g., machine learning)
Experience with clustering algorithms
Experience with RDBMS and knowledge of compiled languages (e.g., C++, Java, or C#)
Experience with the HLA genotyping
A chance to do work that directly impacts blood cancer patients all over the world
A challenging and stimulating work environment with a focus on innovation
An open, friendly, multicultural team that embraces a culture of trust
Flexible working hours, a modern working space, and a family-friendly company culture
We are looking forward to your online application. Please be aware that we can only consider complete
applications including cover letter, CV, certificates and salary expectations.
DKMS Life Science Lab GmbH,
Fiedlerstr. 34, 01307 Dresden