What are the responsibilities and job description for the Manufacturing Engineer I / Pharma Industry position at Pioneer Data?
Position Details:
Our client, a world-leading Pharmaceutical Company in Groton, CT is currently looking for a Manufacturing Engineer I to join their expanding team.
Our client, a world-leading Pharmaceutical Company in Groton, CT is currently looking for a Manufacturing Engineer I to join their expanding team.
Job Title: Manufacturing Engineer I / Pharma Industry
Duration: 12 months contract, extendable up to 48 months
Location: Groton, CT
Duration: 12 months contract, extendable up to 48 months
Location: Groton, CT
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan
Job Description:
Notes from Manager:
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.
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
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 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
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.
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.
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.
Support Manufacturing Execution Systems (MES) and related digital manufacturing platforms.
Assist with the management and support of:
Electronic Batch Records (EBR)
Electronic Logbooks
Electronic Forms
Manufacturing tracking and workflow systems
Electronic Batch Records (EBR)
Electronic Logbooks
Electronic Forms
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.
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:
Engineering
Information Systems
Industrial Engineering
Chemical Engineering
Biomedical Engineering
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.
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
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.
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.
Primarily onsite role.
Expected to work on-site five (5) days per week.
Collaborative team environment supporting multiple manufacturing organizations.
Location: Onsite pharmaceutical manufacturing facility.
Interview Process:
Initial phone screening.
Final panel interview with team members.
Initial phone screening.
Final panel interview with team members.