4 дня назад
Digital Real World Data and Healthcare Intelligence Business Analyst (AI)
100 500 - 150 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Digital Real World Data and Healthcare Intelligence Business Analyst (AI): Translating healthcare data needs into requirements, analyzing claims and EHR data, and supporting AI-powered products that turn real-world data into actionable healthcare intelligence with an accent on data quality, product analytics, and stakeholder alignment. Focus on defining user stories and acceptance criteria, validating data pipelines, evaluating AI-powered features, and supporting dashboards, regulatory compliance, and launch readiness.
Location: Toronto, ON, Canada; hybrid schedule with up to 2 days per week from home
Salary: CAD 100,500–150,500 annually, including target bonus
Company
is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines and using data to improve healthcare outcomes.
What you will do
- Gather, document, and refine business requirements into user stories and acceptance criteria.
- Analyze real-world data from claims, electronic health records, and registries to support product decisions and identify trends.
- Partner with Product Owners to prioritize the backlog and facilitate workshops, stakeholder interviews, and sprint reviews.
- Support dashboards, reports, data visualizations, product documentation, process flows, and data dictionaries.
- Collaborate with data scientists and engineers to validate pipelines, define data quality KPIs, and assess fitness for use.
- Support regulatory, privacy, GxP, SOX, cybersecurity, launch-readiness, and product-performance activities.
Requirements
- Bachelor’s degree in computer science, engineering, life sciences, business analytics, economics, health informatics, or a related field.
- At least 2 years of experience in business analysis, product management, data analysis, or a similar analytical role.
- Familiarity with SQL, Python, Excel, data structures, data flows, and data quality concepts.
- Knowledge of GenAI concepts including RAG architectures, LLMs, prompt engineering, telemetry, evaluation frameworks, or AI quality metrics.
- Understanding of Agile/Scrum methodologies and tools such as JIRA and Confluence.
- Strong analytical, communication, prioritization, collaboration, and data-storytelling skills, with an interest in life sciences and global healthcare.
Nice to have
- Master’s degree or experience in healthcare, pharmaceuticals, real-world data, claims, EHR, or registries.
- Experience with Power BI, Tableau, hands-on AI-assisted prototyping, or AI-powered product development.
Culture & Benefits
- International work environment with opportunities for technical and functional development.
- Market-oriented compensation and cafeteria benefits.
- Collective life and accident insurance and a yearly medical check-up.
- Training and certification pathways with AWS, Snowflake, Informatica, and other platforms.
- Structured onboarding, a dedicated buddy, career development support, community events, and wellbeing activities.
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