InternCoOp NonLDP Int

Descripción del puesto:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function: Career Programs
Job Sub Function: Non-LDP Intern/Co-Op
Job Category:Career Program
All Job Posting Locations:Schaffhausen, Switzerland
Job Description:
We are looking for an ambitious master's student to design and deliver a practical Reliability Program for the maintenance organization of a high-regulated pharmaceutical site. The project combines engineering, data analytics, maintenance strategy, and a strong focus on GMP-compliant implementation. The student will perform data-driven analysis, propose prioritized reliability interventions (including PdM pilots and CMMS improvements), and produce a clear implementation roadmap and business case.
Key objectives
* Assess current maintenance and reliability performance (baseline KPIs such as OEE, MTBF, MTTR, downtime minutes, failure modes, scrap/reject impact).
* Identify gaps and root causes of reliability issues for critical parenteral production assets.
* Develop a pragmatic Reliability Program tailored to the site (policy, roles, processes, KPIs, tools).
* Design and (where feasible) pilot predictive maintenance (PdM) or condition-monitoring solution(s) for 1-2 critical assets.
* Produce a validated implementation plan and cost-benefit analysis to support roll-out.
Core responsibilities
* Collect and analyze historical maintenance and production data from CMMS, MES and shopfloor sources.
* Map critical equipment and perform Asset Criticality / RCM (Reliability-Centered Maintenance) screening.
* Conduct stakeholder interviews and workshops with maintenance technicians, engineers, production, QA and QA/validation representatives.
* Perform root cause analyses on frequent/unplanned failures.
* Propose optimized maintenance strategies (preventive, predictive, condition-based, run-to-failure where appropriate).
* Specify PdM sensor/analytics pilot scope and success criteria (no procurement required unless agreed).
* Define required changes to CMMS structure, work order processes, spare parts strategy and KPI dashboards.
* Build a business case (benefit quantification, cost estimates, ROI, payback, sensitivity analysis).
* Create deliverables: thesis, executive summary, implementation roadmap, KPI dashboard (Excel/PowerBI), pilot test plan, templates for RCA and maintenance work orders.
Expected deliverables
* Master's thesis document with literature review, methodology, results and recommendations.
* Executive one-pager for site management summarizing benefits and next steps.
* Detailed implementation roadmap (6-24 months) with prioritized actions, owner roles and estimated effort/cost.
* Business case: quantified benefits (downtime, scrap, CAPA reduction), costs, ROI and sensitivity analysis.
* CMMS improvement checklist and sample configuration templates (work order types, failure codes, PM schedules).
* PdM pilot specification and test-plan (data types, sensors, thresholds, success metrics).
* KPI dashboard (interactive Excel or PowerBI file) and raw analysis scripts / code repository.
Required qualifications
* Enrolled in a relevant master's program (Mechanical/Electrical Engineering, Reliability Engineering, Industrial Engineering, Pharmaceutical Engineering, Data Science or equivalent).
* Strong analytical skills and experience with data analysis tools
* Familiarity with maintenance concepts (OEE, MTBF, MTTR, RCM, CMMS concepts) and asset management theory.
* Understanding of regulated pharmaceutical environment and GMP basics (validation, documentation, data integrity) - or willingness to learn quickly.
* Good written and spoken English; German language skills a plus depending on site language.
* Ability to work with cross-functional teams and communicate technical content to non-technical stakeholders.
Desirable skills / experience
* Prior internships or coursework in maintenance/operations or manufacturing environment.
* Experience building dashboards (PowerBI, Tableau, Excel).
* Knowledge of condition monitoring hardware (vibration, temperature, current, ultrasonic) and IIoT concepts.
* Understanding of risk assessments and validation requirements for pharma equipment changes.
Required Skills:
Preferred Skills