Head of Data Annotation

at  Digital Science

ABOUT US

We are Digital Science and we are advancing the research ecosystem.
We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us?

SKILLS

• Excellent interpersonal, communications and organizational skills
• Fluent in spoken and written English
• Strong logical reasoning skills and linguistic understanding of complex texts
• Eagerness to continuously expand and deepen your understanding of the biomedical fieldCommitment to staying informed about the latest research methodologies and demonstrating a proactive approach to learning and professional growth

QUALIFICATION

• Ideal formal qualification: PhD in a biomedical field
• At least 3-5 years job experience in a related position

YOUR NEW ROLE

• Build up and lead a team of domain experts for annotation of biomedical literature (e.g. annotating Named Entities & biomedical relations)
• Communicate with stakeholders and AI developers to identify and define relevant information for annotation
• Document and develop annotation procedures as well as necessary domain knowledge in annotation guidelines
• Train annotators on developed annotation guidelines
• Perform quality control of annotations for the construction of reliable and valid datasets that are useful to AI development (calculate inter-annotator agreement, resolve disagreements, discussions with annotators etc.)
• Support the development of and participate in AI model evaluation by human experts

WHAT YOU’LL BE DOING

• Recruitment and supervision of qualified expert annotators
• Continuous education and training of annotators on project requirements as well as staying up to date within the domain
• Contribution of own ideas and expertise to identify potential use cases for the AI development team
• Close cooperation and alignment with stakeholders and AI development team
• Active contribution of comprehensive domain knowledge to the following steps of AI development: Problem Identification & Definition, Approach Conception, Data Collection and Annotation, Approach Evaluation
• Supervision and quality control of data annotation process

WHAT YOU’LL BRING TO THE ROLE

• Background in biomedical science
• Experience with data annotation and/or ontologies
• Experience building and leading a team
• Experience understanding research literature of various biomedical fields, e.g. cancer, immunology, microbiology etc.Experience with computational linguistics is advantageous