Department: German Human Genome-Phenome Archive (GHGA)
Code number: 2021-0406
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 German Cancer Research Center is seeking for the recently launched infrastructure initiative German Human Genome-Phenome Archive a data steward / bioinformatician.
The German Human Genome-Phenome Archive (GHGA, www.ghga.de) is part of the national program for research data infrastructures (NFDI). GHGA will act as a national node within the federated European Genome-Phenome Archive. This infrastructure will support genomics data hubs with software tools for secure data / metadata storage, interactive data portals with data visualization, and streamlined data deposition and acquisition solutions. The GHGA main office, which is coordinated by Prof. Oliver Stegle, is located at DKFZ in close coordination with the European Molecular Biology Laboratory (EMBL). GHGA also works closely together with the NCT - the National Center for Tumor Diseases in Heidelberg.
Job description:
We are looking for a bioinformatician, data scientist or similar background experience in data management and data privacy and security to manage the flow of cancer research datasets into GHGA. This will include, interaction with key stakeholders at DKFZ and NCT, the identification of relevant datasets, research on suitability of sharing of datasets and establishment of SOPs as well as the implementation of a streamlined workflow for the handling of access requests to available datasets. Operational processes will range from ingest to download, implementation of standard operating procedures (SOPs) and quality management measures.
The successful candidate will be part of an interdisciplinary research and data management team developing and applying a diverse range of state-of-the-art methodology to securely manage human omics data. This will be done in close cooperation with the participating GHGA institutions and other (inter)national partners. We are looking for a range of profiles, including data and NGS specialists.
Your responsibilities:
- Identification of suitable datasets and analysis of their potential for data sharing
- Quality control of datasets and preparation of data and metadata for submission into EGA or GHGA
- Development and implementation of data security concepts, including risk management
- Development and implementation of SOPs for data management of human omics data as part of the GHGA infrastructure
- Administration of software tools for consent management
- Strategy and processes for data ingest, metadata validation and quality control of data
- Handling of data access requests and managing the necessary legal processes
- Presenting and disseminating data management concepts within the consortium and at (inter)national conferences
- Establishment of data-driven quality control strategies
- Closely follow the field of secure data handling and sharing and interaction with international initiatives such as the Global Alliance for Genomics and Health (GA4GH)
Your possibilities:
- Get exposed to a plethora of fields ranging from AI-guided clinical decision making to modern web development technologies
- Work with an interdisciplinary team of experts bringing state-of-the-art biomedical research closer to clinics and patients
- Take part in international organizations such as the Global Alliance for Genomics and Health (GA4GH), the European Genome-phenome Archive (EGA) and ELIXIR shaping future of genomics across borders
- Widen your expertise with extensive possibilities of training programs, seminars and conferences
Requirements:
- Master's degree or equivalent qualification in bioinformatics, computational biology, biological science, computer science, physics, mathematics, engineering, or other fields, possibly with a PhD degree
- Demonstrated experience and expertise in the development of data management / data curation concepts is expected
- Previous experience in working with (big) data or a service related field is expected
- Expertise in NGS, (human) omics data, data security and data privacy is beneficial, as is communicating results and ideas to colleagues and (inter)national collaboration partners
- Proficiency with UNIX-based systems and relevant programming languages such as R or Python is beneficial
- The ideal applicant should have demonstrated the ability to work independently and creatively. The candidate should have excellent communications skills both in German and - Englisch and should be able to articulate clearly the requirements, set clear goals and work within an interdisciplinary setting, communicating with other partners.
We offer:
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
- Earliest Possible Start Date: as soon as possible
Duration: The position is initially limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
Application Deadline: 07.01.2021
Contact:
Dr. Ivo Buchhalter
Phone +49 (0)6221/42-3566
Please note that we do not accept applications submitted via email.
The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged 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 (https://www.dkfz.de/en/stellenangebote/index.php).
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.