9 of 9 Permanent Ontologies Jobs in Cambridge

data experiences and governance foundations. You will define KPIs, build Power BI dashboards, leverage Databricks AI/BI and Genie Rooms, and contribute to ontology, #J-18808-Ljbffr ...

/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills ...

time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways ...

Databricks AI/BI capabilities and Genie Rooms. Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics. Support the development of ontology, taxonomy, metadata, tagging and business glossaries. Understand data lineage from source through to consumption, helping ensure data is trusted, traceable and fit for purpose. Validate … similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data governance, metadata, taxonomy, ontology and/or lineage. Strong stakeholder engagement skills, with the ability to break down business requirements and translate them into practical data solutions. Comfortable working ...

excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real impact for customers and researchers? About our Team SciBite is developing cutting-edge … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite’s technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

completeness. Focus on Material domains and future expansion to other scientific domainsDatabase Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from … analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applicationsIntegration with Software Tools: Collaborate with software engineers to ensure ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

data map measured bioactivity data from the scientific literature to other biological entities (proteins, cell-lines etc) using a variety of bioinformatics resources and ontologies work collaboratively with other EMBL-EBI teams to integrate ChEMBL data into their resources and vice versa proactively identify new data types and additional annotations … skills (both verbal and presentational) You might also have Prior experience of biological data curation and knowledge of bioinformatics databases Some knowledge of biological ontologies Experience of working in a drug discovery environment Experience of working with and manipulating file formats such as FASTA, Excel, XML, OBO and familiarity with ...

Elsevier in Cambridge is seeking a Python Software Engineer to help build and evolve data and ontology solutions powering scientific technologies. You will contribute to data pipelines, automation, and tooling across the DataOps stack, collaborating with Ontology and Data Science teams. The role requires Python expertise, experience with UNIX, GitHub ...