InternCoOp NonLDP Int

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We are looking for an ambitious masters student to design and deliver a practical Reliability Program for the maintenance organization of a highregulated pharmaceutical site. The project combines engineering data analytics maintenance strategy and a strong focus on GMPcompliant implementation. The student will perform datadriven 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 conditionmonitoring solution(s) for 12 critical assets.

• Produce a validated implementation plan and costbenefit analysis to support rollout.

Core responsibilities

• Collect and analyze historical maintenance and production data from CMMS MES and shopfloor sources.

• Map critical equipment and perform Asset Criticality / RCM (ReliabilityCentered 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 conditionbased runtofailure 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

• Masters thesis document with literature review methodology results and recommendations.

• Executive onepager for site management summarizing benefits and next steps.

• Detailed implementation roadmap (624 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 testplan (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 masters 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 crossfunctional teams and communicate technical content to nontechnical 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.

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