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G42 Healthcare is an Abu Dhabi based health technology company active across data and AI, digital health, advanced OMICS, pharma, diagnostics and environmental sciences.
- Act as the subject matter expert (SME) for clinical data within the Real World Data Analytics and Evidence Platform Team.
- Work closely with product managers, data scientists, and engineers to define and prioritize product requirements and roadmap, ensuring alignment with customer needs and business goals.
- Conduct comprehensive research and analysis of clinical data sources, such as electronic health records (EHRs) and claims data, to uncover valuable insights and trends.
- Develop analytical models, algorithms, and data visualization techniques to extract meaningful information from clinical data and provide actionable insights to users.
- Collaborate with data scientists and engineers to establish robust data processing pipelines, data integration strategies, and data quality assurance processes for clinical data.
- Stay up-to-date with the latest advancements in the clinical data domain, including data standards, regulations, and industry trends, leveraging this knowledge to drive innovation and enhance the product.
- Engage in user testing, feedback gathering, and iterative design processes to ensure a seamless user experience and continuously improve product features and functionality.
- Provide technical guidance and support to internal teams, customers, and stakeholders regarding clinical data-related inquiries and challenges.
- Facilitate effective communication between technical and non-technical teams, translating complex concepts and insights into easily understandable terms for stakeholders.
- Bachelor’s or Master’s degree in a relevant field, such as computer science, biomedical informatics, or a related discipline.
- Proven experience, at least 3-5 years, working with clinical data, preferably in real-world data analytics or evidence generation in pharmaceutical and life sciences industry or clients.
- Strong understanding of clinical data sources, including EHRs, claims data, and clinical trial data, as well as related data standards like HL7 and CDISC.
- Proficiency in data analysis techniques, statistical methods, and data visualization tools for clinical data.
- Skilled in programming languages such as Python, R, or SQL for data manipulation, analysis, and modelling.
- Familiarity with data integration, data processing, and data quality assurance methodologies for large-scale clinical datasets.
- Knowledge of regulatory requirements and best practices concerning the use of clinical data in healthcare research and analysis.
- Excellent problem-solving skills and the ability to think critically and analytically.
- Strong communication and collaboration skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
- Experience working in an Agile development environment is a plus.
- Prior experience in healthcare or life sciences industries is a must.
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