Description
We are seeking a Health Data Semantics Consultant to join our team. As a consultant, you will contribute to the development and delivery of high-quality solutions for client engagements, with a focus on helping clients implement semantic technologies, interoperability standards, and data-driven approaches.
Responsibilities:
- Review and analyse client requirements and business challenges and contribute to proposal development
- Identify issues and contribute to the development of appropriate solutions, implementation strategies, and roadmaps
- Assess the potential business value of semantic technologies and approaches
- Develop detailed project documentation, business and technical requirements, and specifications
- Support Analysts and Consultants in developing and structuring presentations, recommendations, and client deliverables
- Work with healthcare and life sciences data using relevant standards, semantic technologies, and interoperability approaches
- Support projects involving semantic models, knowledge graphs, and AI-related use cases, where applicable
- Use Python, SQL, or similar scripting/query languages to work with and analyse data
- Develop knowledge of consulting services, methodologies, and the pharmaceutical, healthcare, and life sciences industries
- In a Business Analyst capacity, validate client deliverables and provide direction to offshore project teams
- Collaborate effectively with multidisciplinary and geographically distributed teams to support successful project delivery
Qualifications:
- Bachelor's degree required. An advanced degree or relevant educational background in a computational, medical, life sciences, or related discipline is highly valued
- 3–5 years of professional experience, preferably within healthcare and/or life sciences environments
- Good understanding of healthcare data standards and semantic technologies, including areas such as FHIR, SNOMED, CDISC, IDMP, RDF/OWL, FAIR data principles
- Basic understanding of AI and knowledge graphs and their application within healthcare and life sciences contexts, including basic AI literacy
- Ability to work with data using Python, SQL, or similar scripting/query languages
- Strong analytical and problem-solving capabilities
- Ability to translate business requirements into clear, practical solutions
- Ability to work effectively and collaboratively across the organisation to accomplish team and project goals
- Strong written and verbal communication skills in English
- Strong organisational and time-management skills, with the ability to manage competing priorities and meet deadlines
What You'll Bring:
- Expertise and a strong interest in semantics and interoperability, along with a desire to improve healthcare and life sciences by helping organisations better leverage their data
- Collaborative and client-focused mindset, strong analytical capabilities, and the ability to translate complex business and data requirements into practical solutions
- Comfortable working across multidisciplinary teams, supporting client-facing engagements, and coordinating work across onshore and offshore teams
- Interest in emerging technologies, including AI and knowledge graphs, and understand how these technologies can complement semantic and interoperable data environments