Manufacturing Systems Support Engineer

Job Title - Manufacturing Systems Support Engineer

Job Location – Groton, CT

Duration : 12 Months+

Job Description

• Support key digital systems within DPMS, including software and hardware applications used for manufacturing, materials management, and data capture and reporting.

• Systems include digital execution and orchestration systems (digital logbooks, Electronic Batch Records), data capture systems (Aveva historians, networking and data flows, RFID, Snowflake) and physical automation systems.

• Daily support and troubleshooting of issues related to site manufacturing systems

• Ability to understand and adjust configuration settings and creation of new forms and workflows in the system.

Support data strategy initiatives related to Manufacturing systems.

• Own and maintain configuration specifications and other technical documentation

• Incorporate new technologies, including Artificial Intelligence (AI) into the digital, manufacturing and materials management workflows.

• Support equipment integrations to Orchestrator (Biosero) in the Smartlab

GMP Change Management & Validation Support

• Support GMP change management activities for DPMS digital systems, including documentation updates, testing support, and execution of approved changes.

• Assist in verification and validation tasks for software products and digital tools following established validation procedures.

• Maintain required system documentation and records in accordance with quality requirements.

• Assist with routine system maintenance activities, issue tracking, and coordination with IT partners, system owners, and vendors.

Digital Coordination & Engagement

• Support digital deployment and adoption activities across DPMS, including preparation of user materials, coordination of training logistics, and communication support.

• Serve as a supporting point of contact for DPMS digital initiatives, escalating questions and issues appropriately.

Manager Notes:

Ideal Candidate Profile

An ideal candidate is an early-career engineer or technical professional who possesses foundational engineering and computer science knowledge, demonstrates strong learning agility, communicates effectively, and is interested in supporting digital manufacturing operations within a fast-paced pharmaceutical environment. Experience in manufacturing, biotechnology, pharmaceutical operations, or regulated industries is highly desirable but not required.

Manufacturing Systems Support Engineer

Position Summary

We are seeking a Manufacturing Systems Support Engineer to support digital manufacturing systems within a GMP-regulated pharmaceutical manufacturing environment. This individual will work closely with cross-functional teams to maintain, enhance, and support manufacturing execution systems, electronic batch records, data collection processes, and manufacturing reporting solutions.

The ideal candidate combines a strong engineering mindset with technical aptitude, excellent communication skills, and the ability to learn new systems quickly. This position offers an excellent opportunity for early-career engineers interested in manufacturing technology, process improvement, and digital transformation.

Key Responsibilities

• Support Manufacturing Execution Systems (MES) and related digital manufacturing platforms.

• Assist with the management and support of:

o Electronic Batch Records (EBR)

o Electronic Logbooks

o Electronic Forms

o Manufacturing tracking and workflow systems

• Support manufacturing data collection and integration from production equipment.

• Work with data historians and industrial connectivity applications to capture and utilize manufacturing process data.

• Develop, maintain, and troubleshoot SQL queries and database solutions.

• Utilize Snowflake and other data platforms to analyze and report manufacturing data.

• Partner with manufacturing, engineering, operations, and quality teams to identify opportunities for process improvements.

• Provide digital system support across multiple manufacturing groups and projects.

• Assist with system enhancements, testing, validation support, and continuous improvement initiatives.

• Learn and support specialized manufacturing software applications used at the site.

• Participate in troubleshooting activities and help resolve system-related issues impacting operations.

Required Qualifications

• Bachelor's degree in:

o Engineering

o Information Systems

o Industrial Engineering

o Chemical Engineering

o Biomedical Engineering

o Related technical discipline

• Basic understanding of engineering principles and problem-solving methodologies.

• Fundamental knowledge of programming logic and computer science concepts.

• Familiarity with SQL or database querying concepts.

• Strong analytical and troubleshooting skills.

• Ability to learn new software systems quickly.

• Excellent communication and teamwork skills.

• Strong organizational skills and attention to detail.

Preferred Qualifications

• Internship or co-op experience within pharmaceutical, biotechnology, manufacturing, or regulated industries.

• Exposure to GMP-regulated environments.

• Experience with manufacturing systems, MES platforms, or process automation technologies.

• Experience with data analytics, data modeling, or reporting tools.

• Knowledge of manufacturing process flows and operational support.

• Experience with industrial data historians, process data collection systems, or equipment integration software.

• Strong coding or scripting background with interest in advanced data modeling and analytics.

• Experience with AI

Soft Skills

The successful candidate will demonstrate:

• Strong interpersonal and relationship-building skills.

• A positive and collaborative attitude.

• Ability to work effectively with diverse teams.

• Adaptability and willingness to learn.

• Self-motivation and initiative.

• Strong customer-service mindset when supporting internal stakeholders.

Work Environment

• Primarily onsite role.

• Expected to work on-site five (5) days per week.

• Collaborative team environment supporting multiple manufacturing organizations.

Assignment Details

• Duration: Initial 12-month contract.

• Schedule: Full time.

• Location: Onsite pharmaceutical manufacturing facility.

• Interview Process:

o Initial phone screening.

o Final panel interview with team members.