Associate Director, Semantic Technologies Lead
Associate Director, Semantic Technologies Lead
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Job Description
Job Description Summary
Join our team at data42!The vision of data42 is to inspire collaborative groundbreaking data and AI initiatives to reimagine drug discovery at Novartis and accelerate time to market ultimately transforming healthcare and improving lives. We are a small team dedicated to bringing this vision to life by accelerating secondary research and data-driven decisions where we provide scientific support and data ready for analysis in a collaborative environment leveraging a secure and governed AI-enabled platform
The Semantics Technologies Associate Director will Lead data42s implementation of Semantics and Metadata standards and be responsible of their quality across all data processing pipelines (Pre-Clinical Clinical Omics & RWD) from ingest to making data accessible for disease-centric multimodal analysis & investigation as well as being responsible for enabling Data Findability through a data FAIRification process by providing the required structured data with integrating advanced ontology management and metadata standardization (e.g. MedDRA SDTM ADaM WHODrug & ISO taxonomies) enabling advanced patient cohorting & analytical functionalities.
The Semantics Technologies lead will also be responsible for maintaining the data42 data catalog designing and developing metadata management systems and shaping data42s vision for how semantics can transform the landscape of multimodal & multidimensional data utilization in the R&D and medical continuum.
Job Description
Major accountabilities:
Interface seamlessly with semantic experts across the company including the Biomedical Research (BR) Development (Clinical Operations & Analytics) and others. Establish and implement the multimodal data roadmap for data42 contributing to identify novel drug targets and therapeutic strategies.
Apply all FAIR principles ensuring that all data assets are properly tagged governed and aligned with business objectives and make any data understandable for data42 end users
Maintain data catalog of all data assets managed across the data42 ecosystem
Brings expertise and supports the implementation of the standardization of data models and reference data across all master data defined by each data assets owner.
Maintain AI-enabled metadata tools to facilitate data findability and metadata management across all data assets and expose them to data42 end users.
Lead and coordinate pipelines teams towards implementing data42s vision for enabling disease-centric multimodal investigation.
Coordinate closely with teams working on semantics and metadata standards across Novartis.
In conjunction with a scrum master run the team through an agile methodology
Experience/Professional requirements:
Third level Degree qualification and 10 years of professional experience in metadata management semantic technologies ontology Artificial Intelligence (AI) and insights generation within the pharmaceutical biotechnology or a related industry.
In-depth knowledge of industry standardization like CDISC (SDTM ADaM SEND) HL7 FHIR MedDRA and WHODrug.
Demonstrated experience in leading and implementing large-scale data projects and initiatives particularly those involving semantic technologies ontologies and knowledge graphs.
Proficiency in FAIR (Findable Accessible Interoperable and Reusable) data principles and their application in a business/biomedical context.
In-depth knowledge of Ontological authoring & engineering e.g. ontology development process ontology life cycle methodologies tools and languages required for building ontologies.
Knowledge of Generative AI and Large Language Models (LLM) with a focus on leveraging these technologies to transform unstructured and unharmonized data sources into insightful and actionable information.
Semantic Web Technologies (Web 2.0/3.0 RDF/OWL/SKOS SPARQL...) and their application to the biomedical domain (OBO).
Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve
Skills Desired
Algorithms Computer Programming Computer Science Computer Vision Data Science People Management R&D (Research And Development) Solution Design Waterfall ModelRequired Experience:
Director
Employment Type
Full-Time
