The Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) is a leading international biomedical research center with the goal of elucidating the molecular mechanisms of health and disease in order to create the basis for new therapies and diagnostic procedures. The MDC is a member of the largest scientific organization in Germany - the Helmholtz Association - and offers a stimulating and interactive research environment with the most modern infrastructure. Currently, 1,250 employees and approximately 500 guests work at the locations in Berlin-Buch and Berlin-Mitte. The diversity of our workforce is a strength and promotes creativity and innovative spirit at the MDC.
Among all -omics system biology disciplines, proteomics is becoming increasing important for research centred in basic research and personalized medicine. This is a new field that opens new opportunities and challenges in data analysis. We are seeking an experienced computational scientist that is eager to explore new ‘big data’ approaches to integrate proteomics and genomics data.
The ERC funded allosteric proteomics group of Dr. Ilaria Piazza studies how interactions between protein and small molecules influence gene expression patterns, combining new structural proteomics and next generation sequencing methods, while the Mertins team aims to develop and apply novel mass spectrometry-based research core pipelines, bioinformatic tools, statistics and machine learning methods to support the MDC community. As a bioinformatics post-doc / data scientist, you will be a member of both the Piazza research group and the proteomics technology platform lead by Dr. Philipp Mertins. Your work will equally contribute to specific research projects and general bioinformatic tool development. In this capacity, you will have the chance to interact and collaborate with additional MDC and Charité research groups and support the MDC with computational knowledge within the proteomics platform. To foster your scientific independence, your work will be supported by technical assistants and you’ll coordinate the efforts to generate sharable and reproducible code between the groups.
- Applicants should have a PhD degree in computational genomics, bioinformatics, computer science, statistics or equivalent experience in the field. We are specifically looking for a talented and motivated researcher with a proven track record in bioinformatics and a clear understanding of biochemistry/ molecular biology.
- Requirements are excellent programming skills for data analysis, preferably in Python and R and bash programming. Knowledge of user interface programming, such as in RStudio Shiny, is a plus; working knowledge of JAVA, or C++ and version controlling, such as in Git, is desirable.
- The ideal candidate should have experience in the development and evaluation of statistical methods and machine learning.
- A background in biostatistics, such as parametric/non-parametric test statistics, linear mixed effects models, batch correction, treatment of missing values, correlation analysis, simulations, and development of models. Machine learning approaches for class discovery and pattern recognition (e.g. supervised/unsupervised clustering, random forest, neural networks, etc.), pathway enrichment, or signature motif enrichment analysis is desirable.
- Experience with working with large scale -omics datasets and their effective visualization (e.g. next generation sequencing). Familiarity with protein structural data is a plus.
- Proven track record of published research is a prerequisite, highlighting development of new bioinformatics approaches and documentation of reproducible data analysis.
- Willingness to give basic and advanced bioinformatics lectures to user community at MDC and to co-supervise PhD students.
- The candidate should be fluent in written and spoken English, and be able to work in teams,with the ability to communicate, show flexibility and exhibit essential soft skills. Previous supervision of students or coordination of projects is a plus.
TAKE THE STEP
Appointments are made for an initial period of 3 + 2 years with possibility of extension to a
permanent position. Salary is according to skills and professional experience.
- International working environment with communication in English and German
- Interesting career opportunities and a comprehensive range of qualification and further training opportunities
- Compatibility of family and career certified by the berufundfamilie audit
- Varied support for "New Berliners" (Welcome & Family Office)
- Company health management with fitness center
You also benefit from:
- A remuneration in accordance with the collective agreement for the federal public service (TVöD-Bund), including additional company pension schemes
- Flexible working hours and childcare support
- An idyllic green campus, which is easily accessible by bicycle, public transport or car