The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
The Division of Bioinformatics and Omics Data Analytics is seeking a
Scientific Software Developer
The new Collaborative Research Center “Understanding and Targeting Resistance in Glioblastoma” (UNITE GLIOBLASTOMA, SFB1389) is focused on decoding and combating resistance in glioblastoma, a serious and usually fatal brain tumor in children and adults. The goal of the research consortium is to understand the molecular mechanisms of resistance against current therapies and to develop new types of treatment. At the heart of the CRC is the “Core Collection”, for which uniform, integrated data sets from multiple omics analyses, preclinical models, imaging, and clinical data are being generated.
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We invite applications for an enthusiastic and motivated scientific software developer to join the UNITE core work package “Data integration, bioinformatics analysis, and data exploration for precision neurooncology”.
In UNITE, you will work with leading researchers in the field of neurooncology towards the goal of making glioblastoma treatable.
Your main responsibilities will be to:
- Develop components and interfaces of an integrated data platform
- Develop, deploy and maintain production grade web-based systems
- Develop scalable, memory-efficient and fast algorithms for in-browser data analysis
- Optimize and refactor components of data analysis workflows to improve scalability
- Work with clinical and experimental collaboration partners to collect requirements and gather feedback to support the development and roll-out of the software
You will work closely alongside bioinformaticians to support various projects and bring your software development skills to the team. You are a highly motivated, organized (documentation and communication are important aspects of the job), and open-minded team player with a passion for code development and a general interest in the analysis of biomedical data. You are looking forward to interdisciplinary work and to take on new challenges. The position will give you the opportunity to gain expertise in the analysis and integration of various omics and other data types and to develop software to exploit the potential of these data. The embedding in our highly collaborative CRC will allow you to build up a network of highly successful collaboration partners. You will have opportunities to supervise and mentor junior researchers during the appointment.
- Appropriate university degree (master’s degree plus work experience or PhD) in scientific programming, computer science, bioinformatics or a related subject
- In-depth knowledge of quality-centric software engineering and development
- Experience in python development and the use of collaborative tools (git)
- Working knowledge of English
- Ability to work independently and pro-active work style
- Experience with (interactive) data visualization (e. g. D3.Js, Plotly, ggplot, WebGL / Canvas)
- Experience with big data analytics and frameworks (e. g. Spark)
- Experience with Docker and Kubernetes
- Experience with relational databases such as MySQL
- Experience with large-scale biomedical data
The position is limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
For further information please contact
Dr. Matthias Schlesner, phone +49 6221 42-2720.
The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
To apply for a position please use our online application portal.
We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.