136 jobs for “MedTech Data Scientist”
Johnson & Johnson MedTech Beerse, Belgium €79,800 – €137,770 pa
Oversees the end-to-end process for internal and external clinical data sharing requests, ensuring compliance with privacy standards and procedures. Manages vendors handling anonymisation and synthetisation, and acts as the primary contact for YODA Project requests, securing clinical team approvals. Supports external research teams using clinical study data.
Johnson & Johnson MedTech High Wycombe
Oversees the end-to-end process for internal and external clinical data sharing requests, ensuring compliance with privacy standards and procedural requirements. Supervises vendors handling data anonymization and synthetization, and acts as the primary contact for YODA Project requests, securing clinical team approvals. Supports external research teams using clinical study data and leads cross-functional projects within a matrix organization.
Johnson & Johnson MedTech Beerse, Belgium €82,000 – €141,450 pa
Leads the development, revision and maintenance of primary labeling documents including the Company Core Data Sheet, US Package Insert and EU Product Information for assigned compounds. Advises on labeling content, processes and timelines, resolves labeling issues, and contributes to global labeling strategy and continuous process improvement within a matrix team.
Johnson & Johnson MedTech Warsaw, Poland €205,000 – €354,200 pa
Leads the development, revision and maintenance of primary labeling documents such as the Company Core Data Sheet, US Package Insert and EU Product Information for assigned compounds. Advises on labeling content, processes and timelines, resolves labeling issues and contributes to global labeling strategy and continuous process improvement within a matrix team.
Johnson & Johnson MedTech Allschwil, Switzerland
Leads the development, revision and maintenance of primary labeling documents including the Company Core Data Sheet, US Package Insert and EU Product Information for assigned compounds. Advises on labeling content, processes and timelines, resolves labeling issues and contributes to global labeling strategy and continuous process improvement within a matrix team.
Johnson & Johnson MedTech Zug, Switzerland
Leads the development, revision and maintenance of primary labeling documents including the Company Core Data Sheet, US Package Insert and EU Product Information for assigned compounds. Advises on labeling content, processes and timelines, resolves labeling issues, and contributes to global labeling strategy and continuous process improvement within a matrix team.
Johnson & Johnson MedTech Bern, Switzerland
Leads the development, revision and maintenance of primary labeling documents including the Company Core Data Sheet, US Package Insert and EU Product Information for assigned compounds. Advises on labeling content, processes and timelines, resolves labeling issues and contributes to global labeling strategy and continuous process improvement within a matrix team.
Johnson & Johnson MedTech High Wycombe
Strategic lead for modernising the Clinical Risk Management digital and data landscape, defining direction, priorities, governance and investment cases for CRM-owned digital capabilities. Partners with CRM leadership, RDQ functions, enterprise programmes and external vendors, and chairs decision-making forums while delegating day-to-day process optimisation to a Manager.
Johnson & Johnson MedTech Issy-les-Moulineaux, France
Strategic lead for modernising the Clinical Risk Management digital and data landscape, defining direction, priorities, governance and investment cases for CRM-owned digital capabilities. Partners with CRM leadership, RDQ functions, technology organisations and external vendors, and chairs decision-making forums on demand, change, risk and data. Retains strategic accountability while a Manager handles day-to-day process optimisation and digital administration.
Johnson & Johnson MedTech Beerse, Belgium
Strategic lead for modernising the Clinical Risk Management digital and data landscape, defining roadmap, governance, investment cases and value measures. Partners with CRM leadership, RDQ, technology and external vendors, while a Manager handles day-to-day process optimisation and digital administration.
Johnson & Johnson MedTech Maidenhead
Oversees local UK clinical trials from start-up through database lock, acting as the country-level point of contact and coordinating the local trial team to deliver compliant, high-quality data. Leads feasibility, site selection, recruitment planning and IRAS submissions, while mentoring CTAs and Site Managers and monitoring trial progress against timelines and budget.
Johnson & Johnson MedTech High Wycombe
Independent clinical quality-risk leadership role translating risk signals into proactive mitigation, escalation and inspection/submission readiness across trials and programs. Involves maintaining Clinical Quality Plans, driving quality risk monitoring reviews, supporting CAPA plans, and leading inspection readiness and mock inspections with cross-functional teams.
Johnson & Johnson MedTech Blackpool
Performs physical, analytical and chemical QC testing on raw materials, in-process and finished products, and leads laboratory and non-conformance investigations. The role covers GMP documentation, equipment calibration, method validation and consumable management while ensuring compliance with ISO 13485, ISO 14001 and FDA QMSRs. It also involves training other staff and liaising with approved manufacturers to keep testing on schedule.
Johnson & Johnson MedTech High Wycombe
A 12-month industry placement within the Integrated Data Analytics and Reporting function, specifically Clinical and Statistical Programming. The student applies SAS, R and Python to analyse trial data, build automation and AI-driven tools, and document solutions across disease areas, working alongside programming experts in a pharmaceutical research department.
Johnson & Johnson MedTech Maidenhead
A 12-month industry placement within the Integrated Data Analytics and Reporting function, specifically Clinical and Statistical Programming. The student applies SAS, R, Python, RPA and Power Automate to analyse trial data, build automation and AI-driven tools, and document solutions across disease areas. Distinct for combining hands-on clinical research analysis with emerging AI technologies.
