1-5 Bioninformaticians / Computational Life Scientists (M/F)

1-5 Bioninformaticians / Computational Life Scientists (M/F)

Charité – Universitätsmedizin Berlin

Berlin, Germany

The Charité is a joint medical faculty, which serves both Freie Universität Berlin and Humboldt Universität zu Berlin. As one of the largest university hospitals in Europe with an important history, it plays a leading role in research, teaching and clinical care. The Charité university hospital has also made a name for itself as a modern business with certifications in the medical, clinical and management fields.

We are hiring

Digital Health Centre, Berlin Institute of Health
Charité Campus Mitte

The Digital Health Centre, headed by Prof. Roland Eils, conducts innovative healthcare research with a strong focus on computational methods including application and development of big-data analytical methods, artificial intelligence and deep learning. We have recently moved our lab to Berlin and are looking rebuild our multi-disciplinary team of ambitious scientists to apply computational analytical methods to medical multi-omics, clinical and imaging data. We are leaders in international projects (Human Cell Atlas, International Cancer Genome Consortium) and European life science networks (de.NBI, ELIXIR, European Open Science Cloud). We have state-of-the-art computational resources including in-house HPC, cloud, GPGPU (2 x Nvidia DGX1) and FPGA technology. With access to vast amounts of data and computational resources, we aim to address important questions pertaining to precision medicine, interplay of multi-omics data and environmental/lifestyle factors, and methods development.

The research group of Roland Eils provides a dynamic, challenging, and rewarding research environment. Your responsibilities are primarily to undertake excellent scientific research, while paying attention to career development and community engagement including the following:
• Closely collaborate with other research scientist within and outside the group to develop methods and/or analyse biomedical data
• Closely collaborate with other bioinformatics developers on system implementation and deployment on internal systems and the cloud
• Focused on application and development of novel computational methods, and awareness of community standards
• Communicate research via publications, presentations and open software
• Attend training courses as required, and presenting at international conferences/workshops


• Ambitious, self-driven, a thirst for answering scientific questions and aim to build a scientific career in biomedical data science research
•A PhD or post-doc candidate with an academic background in computer science, biotechnology, cancer genomics, physics, medicine, or similar
• Strong quantitative skills and computational fundamentals (e.g dimensionality reduction, machine learning, algorithms, data structures)
• Excellent programming proficiency especially in Python, R, Julia, Javascript, bash or similar
• Experience with linux based HPC or cloud environments
• Experience in designing and implementing data analysis pipelines
• Fluent in English (written and spoken)

Qualifications – desirable

• Experience with next generation sequencing data analysis
• Prior experience in working with single cell ‘omics data, liquid biopsies, or cancer genomics data
• Experience in data visualization, integration and interpretation of large heterogeneous datasets
• Able to work with code repositories (git, SVN) and literate programming platforms (e.g. Jupyter, R notebook)
• Grasp of CWL, WDL or another workflow language, and workflow management platforms (e.g. Cromwell, Funnel, snakemake)
• Experience with machine learning frameworks (e.g. PyTorch, TensorFlow, Keras, Caffe)

Applicants should send

• A letter of motivation
• An academic CV (max 5 pages)
• A list of referees (or reference letters)
• A link to a github respository or example code



3 years

39 hrs/week

E13 Acc. to collective agreement TVöD VKA-K
Employees are grouped into pay scales according to their qualifications and personal requirements. You can find our collective bargaining agreements (Tarifverträge) here: https://www.charite.de/en/careers/

Please send your application quoting the reference numer to:

Charité – Universitätsmedizin Berlin naveed.ishaque@charite.de

Please only send documents electronically.

For further information please contact
Dr. Naveed Ishaque, naveed.ishaque@charite.de
+49 (0)30 450 543096.

trifft ihre Personalentscheidungen nach Eignung, Befähigung und fachlicher Leistung. Gleich­zeitig wird eine Erhöhung des Anteils von Frauen in Führungs­positionen angestrebt und dies bei gleich­wertiger Qualifikation im Rahmen der rechtlichen Möglich­keiten berück­sichtigt. Ebenso ausdrück­lich erwünscht sind Bewerbungen von Menschen mit Migrations­hintergrund. Schwer­behinderte Bewerbe­rinnen und Bewerber werden bei gleicher Quali­fika­tion bevorzugt. Ein poli­zei­liches Führungs­zeugnis, gege­benen­falls ein erweitertes Führungs­zeugnis, ist vorzulegen. Eventuell anfallende Reise­kosten können nicht erstattet werden.

Data protection notice: Charité points out that personal data is stored and processed as part of the application process in different areas of Charité (e.g. faculty, staff committee, human resources department). Furthermore, the data may be transferred or processed within the group as well as in locations outside the group (e.g. authorities) to protect legitimate interests. By applying, you agree to our data protection regulations and terms of use, which you can find here (https://www.charite.de/service/datenschutz/bewerbungsverfahren/).


Apply with CV and Cover Letter

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Must be a .doc, .docx, or .pdf file and no larger than 1MBMust be a .doc, .docx, or .pdf file and no larger than 1MB

1-5 Bioninformaticians / Computational Life Scientists (M/F)