Digital Manufacturing Operations (DMO) Graduate - Brinny

MSD Ireland; Ballinacurra; Hybrid; EUR 30,000 - 36,000; Full time

Job summary

MSD Ireland invites recent graduates to join the DMO Graduate Programme, a cross-disciplinary role developing technical and business skills within a leading pharmaceutical manufacturing environment.

The programme supports manufacturing, engineering and digital transformation initiatives and offers exposure to manufacturing systems, process automation, data analytics and IT systems through practical projects and on-the-job learning.

Qualifications

• 2:1 degree in Engineering, Computer Science, Data Analytics, IT, Science or related discipline.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Responsibilities

• Support digital, automation and data initiatives across manufacturing operations.
• Analyse operational data to identify trends and opportunities.
• Assist with implementation and optimisation of digital solutions.
• Collaborate with cross-functional teams across manufacturing, engineering, quality and laboratories.
• Support system administration, testing and documentation activities.
• Participate in problem-solving and continuous improvement initiatives.

Education

2:1 degree in Engineering, Computer Science, Data Analytics, Information Technology, Science or a related discipline

Job description

DMO Graduate

The Digital Manufacturing Operations (DMO) Graduate Programme provides an exciting opportunity for a recent graduate to develop technical and business skills while supporting manufacturing, engineering and digital transformation initiatives within a leading pharmaceutical manufacturing environment.

Job Description

The Digital Manufacturing Operations (DMO) Graduate Programme provides an exciting opportunity for a recent graduate to develop technical and business skills while supporting manufacturing, engineering and digital transformation initiatives within a leading pharmaceutical manufacturing environment.

The graduate will work as part of a multidisciplinary team supporting a range of digital, automation, data and operational technology solutions used across manufacturing operations. The role offers broad exposure to multiple areas of the business and is designed to accelerate professional development through a combination of practical project assignments, coaching and on-the-job learning.

During the programme, the graduate may have opportunities to gain experience across a variety of disciplines, including:

• Manufacturing systems and digital manufacturing solutions
• Process automation and industrial control systems
• Data analytics and business intelligence
• Operational technology and IT systems
• Laboratory and analytical data systems
• Digital transformation and continuous improvement initiatives
• Project delivery and technology lifecycle management

Key Responsibilities May Include

• Supporting technology and business improvement projects
• Analysing operational data to identify trends and opportunities
• Assisting with implementation and optimisation of digital solutions
• Collaborating with cross‑functional teams across manufacturing, engineering, quality and laboratories
• Supporting system administration, testing and documentation activities
• Participating in problem‑solving and continuous improvement initiatives
• Building technical expertise through structured development activities

The Successful Candidate Will Demonstrate

• A 2:1 degree in Engineering, Computer Science, Data Analytics, Information Technology, Science or a related discipline
• Strong analytical and problem‑solving skills
• Excellent communication and teamwork abilities
• Curiosity, adaptability and a willingness to learn
• An interest in digital technologies, manufacturing operations and innovation

This programme offers a unique opportunity to gain experience across multiple functional areas while building a broad understanding of how digital technologies enable modern manufacturing operations.

PQ20

Required Skills

Building Capability, Building Capability, Business Informatics, Chemical Engineering, Communication, Competency Development, Conceptual Thinking, Data Analysis, Delivery Management, Digital Transformation, Document Management, Engineering Design, Engineering Standards, Estimation and Planning, Industrial Engineering, Life Cycle Planning, Logical Thinking, Manufacturing Equipment, Manufacturing Scale-Up, Problem Solving, Process Improvements, Production System, Professional Engineering, Project Implementations, Project Life Cycle Management {+ 9 more}

Employee Status

Project Temps (Fixed Term)

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

No Travel Required

Flexible Work Arrangements

Hybrid

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

N/A

Job Posting End Date

• A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID

R412579