Data Scientist: Linked Open Data and Marine Biodiversity (m/f/d)

at  Helmholtz Association of German Research Centres

DATA SCIENTIST: LINKED OPEN DATA AND MARINE BIODIVERSITY (M/F/D)

Employer
Helmholtz Association of German Research Centres
Location
Bremerhaven
Closing date
9 Jul 2024
Discipline
Earth Science
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

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JOB DETAILS

Area of research:
Scientific / postdoctoral posts
Job description:Data Scientist: Linked Open Data and Marine Biodiversity (m/f/d)
Background
The incumbent will work on three closely interrelated projects - MARine COastal BiOdiversity Long-term Observations (MARCO-BOLO), BiOceanS5D, and Global cooperation on FAIR data policy and practice (WorldFAIR) - with the overall objective to harmonise data and information flows within the digital framework of the UN Ocean Decade and the IODE of IOC-UNESCO.
Tasks
The incumbent will pursue and publish (in peer-reviewed journals) data science research focused on the increasingly more interlinked, web-actionable, and transparent ocean digital ecosystem that all the noted projects and initiatives contribute to.
The research tasks will transfer the skills from ecological sciences to digital ecosystems, evaluating their (cyber)diversity, structure, and function in order to create a scientific basis for objectively characterising the state of the ocean’s digital ecosystem.
The results of this work will be used as a basis for further strategy development and implementation guidance, to engineer more robust and interoperable ocean digital ecosystems.

Requirements

• PhD or equivalent experience in data science and/or informatics
• High fluency in core data science skills including:
• Data management, storage (e.g. in SQL relational databases, Triplestores, etc), harmonisation, and standardisation
• Programmatic data (re)formatting - experience working with structured data on the web (e.g. JSON-LD, RDF)
• Access, use, and transformation of linked open data via, e.g., APIs, embedded (meta)data
• Developing web-based data exchanges across distributed systems
• Basic data analytics using statistical computing languages or packages (e.g. R, python)
• Ability to work with stakeholders from different disciplines and domains (academia, industry, policy, etc)
• Ability to represent AWI at project consortium meetings and international fora
• Ability to perform independent research within the frameworks of the deliverables
• Ability to assess and suggest optimisations for digital practices across diverse consortia
• Ability to develop, lead, and/or teach in training courses and capacity development processes including supervision/training of junior staff and collaborators
• Ability to work across distributed hardware including remote storage and computing systems
• Ability to lead or contribute to peer-reviewed publications
• Ability to contribute to and support supervisors in project reporting, including (co-)authoring project reports, deliverables, and - when needed - representing supervisors in official project meetings.
• Familiarity with UNIX / Linux based systems
• Excellent command of English.

Desirable skills and knowledge:

• Familiarity with biology, biodiversity, and/or ecological data and theory
• Fluency in metadata handling relevant to biodiversity / omic data and information products
• Experience with knowledge representation (KR) technologies and ontology development
• Experience using cloud-based systems

Further Information
The AWI is characterized by

The AWI is characterized by

• our scientific success - excellent research
• collaboration and cooperation - intra-institute, national and international, interdisciplinary
• opportunities to develop – on the job and towards other positions
• an international environment – everyday contact with people from all over the world
• flexible working hours and the possibility of mobile working up to 50% of regular working hours
• health promotion and company fitness with EGYM Wellpass
• support services and a culture of reconciling work and family
• occupational pension provision (VBL)

Applicants with disabilities will be given preference when equal qualifications are present.
The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany’s largest scientific organisation.

Please refer the Job description for details