This is a hybrid, 18 month fixed term maternity leave contract role based in Carrigtwohill, Cork.
This role does not meet the criteria to allow Stryker to sponsor a Critical Skills work permit. Candidates must be resident in the Republic of Ireland and eligible to work for the full duration of the contract
Want to use your unique skillset and talent to transform lives? Join us as a Staff Engineer – Data Science, Neurotechnology, and help advance neurosurgery by translating complex data into insights that shape surgical decision making and smarter product innovation.
You will:
Provide hands on data engineering to extract valuable insights from Stryker’s connected Neurotechnology ecosystem, enabling data informed clinical performance, product design, and operational support.
Design and implement scalable, production grade data pipelines to support both clinical and operational use cases.
Optimize data ingestion, processing, reliability, and performance to meet the evolving digital demands of the future Neuro Operating Room.
Develop and validate proof-of-concepts and prototype applications to assess feasibility, demonstrate value, and directly inform the Neurotechnology data strategy.
Partner with data, cloud and front-end application engineers to evolve prototypes into reliable enterprise-ready solutions.
Work within Python based data science workflows and enterprise platforms on the Stryker Health Cloud, collaborating closely with advanced R&D, marketing, and external stakeholders.
Write clean, efficient, and well documented Python code for data modelling, data processing, feature engineering, analytics, and visualization supporting next generation neurotechnology products.
Collaborate across disciplines to deliver actionable data-driven insights that drive clinical innovation and operational excellence.
Skills needed
Strong proficiency in Python for data collection, analysis, and data pipeline architecture with an emphasis on scalability.
Proficiency with data visualization standards and tools with a focus on clarity, usability and insight generation.
Ability to ideate and identify, evaluate and integrate novel data sources and explore their potential value in developing clinical insights.
Solid foundation in software engineering, electrical engineering, and/or systems engineering fundamentals, enabling effective collaboration across technical disciplines.
Broad, practical experience across the data lifecycle, including strong analytical and problem solving skills, with experience translating complex data into meaningful, real world impact.
Flexible, agile mindset with a systems level design approach, balancing rapid prototyping with long term scalability, reliability and organizational integration.
Bonus: Experience implementing end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and CI / CD.
Bonus: Hands‑on experience with machine learning algorithms and predictive modeling in applied contexts.
Bonus: exposure to deploying optimized, real‑time inference models on edge compute systems.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline.
Experience developing data solutions in regulated or clinical environments preferred.
3-5 years of experience delivering solutions in a data architecture, data engineering or related field.
Demonstrated experience designing and implementing scalable data models (relational, dimensional, NoSQL) and data warehouse systems.
Hands‑on experience with modern cloud data platforms (e.g., Databricks) and data governance, lineage, and compliance tooling.
Proven ability to excel in cross‑functional collaboration with clinical partners, R&D, IT, and business stakeholders to translate clinical needs into robust, scalable data platform designs.
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