Data Steward

**Position**:Data Steward / Bioinformatician**

**Department**: Omics IT and Data Management Core Facility (ODCF)

**Code number**:2023-0419

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.

**Job description**:
We are looking for a bioinformatician, data scientist or similar background experience in data management, privacy and security to manage the flow of cancer research datasets into our local data management software and further into appropriate public archives. This will include interaction with key stakeholders at DKFZ and NCT, the identification of relevant datasets, research on suitability of sharing datasets and establishment of standard operating procedures (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, the implementation of SOPs and quality management measures.

Your responsibilities:

- Development and implementation of SOPs for data management of omics data as part of the DKFZ infrastructure
- 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 of a strategy and processes for data ingestion, metadata validation and quality control of data
- Handling of data access requests and management of the necessary legal processes
- Presentation and dissemination data management concepts within the institute 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:

- 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) 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 in 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

**We offer**:

- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
- 30 days of vacation per year
- Flexible working hours
- Possibility of mobile work and part-time work
- Family-friendly working environment, e.g. parent-child room, advisory services caring for elderly relatives
- Sustainable travel to work: subsidized Germany job ticket
- Unleash your full potential: targeted offers for your personal development to further develop your talents
- Our Corporate Health Management Program offers a holistic approach to your well-being

**Important notice**:
**Earliest Possible Start Date**: 01.01.2024

**Duration**: The position is initially limited to 2 years with the possibility of prolongation.

The position can in principle be part-time.

**Application Deadline**:09.12.2023

**Contact**:
Dr. Ivo Buchhalter
Phone +49 (0)6221/42-3566

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.