Laboratory Operations Analyst - Automation Engineer, R&D Therapeutics Discovery

工作内容

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

R&D Operations

Job Sub Function

Laboratory Operations

Job Category

Professional

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are seeking a motivated Laboratory Automation & Data Engineer (I/II) to join our R&D Therapeutics Discovery organizationin Beerse, Belgium.

This position is part of the global Discovery, Product Development & Supply (DPDS) Operations Team responsible for operations within the Therapeutic Discovery (TD) and Preclinical Safety and Translational Sciences (PSTS) organizations. The Lab Operations team in DPDS Operations looks after the lab workspace and equipment to enable the scientists to focus on their science using a knowledge of project management, drug discovery instrumentation and automation, and process excellence to evaluate, develop and deliver drug discovery laboratory processes and infrastructure.

The candidate will work effectively in multi-disciplinary teams and collaborate with internal and external partners - such as IT, Safety, Engineering, Facility Management - thus ensuring flawless execution of all projects and processes connected to the lab workspace and automation in particular. The function requires a hands-on mentality and the ability to work autonomously for longer term activities independently adapting to project developments and proposing next steps.

This onsite role focuses on the configuration of laboratory instruments and the implementation of automated scientific workflows. You will support laboratory automation across discovery fields, reduce manual data entry and human intervention between instruments and software. In addition, you will contribute to event-driven architectures and automated data quality control and validation with ubiquitous tracking of completeness, consistency, validity, and accuracy over time.

You Will Be Responsible For

• Design and implement automated lab instrumentation and workflows that span hardware, software, and data layers, liaising with fellow team/project members, scientists, IT and automation engineers; all following procedures, priorities and timelines
• Ensure routine and unscheduled interventions on computer and automation platforms are performed within acceptable timeframes, effectively collaborating with external partners/organizations. Take ownership of issue resolution and upgrades
• Supporting the development of event-driven data pipelines that respond to instrument events, runs, and results.
• Maintain accuracy of asset management system, both on lab equipment and software
• Safeguard a steady and ongoing relationship with scientific and IT staff for efficient operation, improved automation, and workflow process improvements.
• Translating and scripting R&D processes on automated platforms
• Review, author, and update department policy/procedures as required
• Observe and apply general laboratory safety standards.
  
  

Education

Qualifications / Requirements:

• Education: Bachelor’s degree in engineering, computer science, life sciences, or a closely related field with at least 9 years’ experience or a Master’s degree with 6 years of experience
  
  

Required

Experience and Skills:

• Experience: a minimum of 5 years in automation operation and platform management. At least 3 years of experience in the biological, medical device or pharmaceutical field required
• Proven track record with advanced automation platforms in laboratory or research environments; familiarity with laboratory instrumentation and analytical techniques.
• Systems & integration: Broad experience with robotics, LIMS/ELN, data management systems, and end-to-end system integration (scheduling software, APIs, middleware, data exchange).
• Experience in / understanding of basic concepts in a biological and or chemical laboratory required as well as a background in / keen interest in biological and chemical R&D processes
• A solid understanding of Machine Safety and compliance requirements
• Strong interpersonal communication skills, effective organization, communication, and customer service skills.
• Strategic and critical thinking, prioritization, and ability to execute on those strategies.
• Fluency in English and Dutch, both written and oral
  
  

Preferred

• Proven project management success and change management experience is highly preferred.
• Solid working knowledge of laboratory or highly controlled facilities operations, information systems, instrumentation, automation, safety, and compliance are highly preferred.
• Knowledge of LIMS/ELN systems, data visualization, and analytics toolsets; experience with programming languages and scripting for automation.
• Cloud and data: Experience with cloud platforms (AWS, Azure) and data orchestration/workflow tooling.
• Data governance: Strong understanding of data integrity, lineage, security frameworks, and scalable data architectures.
  
  

Required Skills

Dutch Language, Feasibility Studies, Robotic Automation, Software Applications, User Acceptance Testing (UAT)

Preferred Skills

Application Programming Interface (API), Database Management, Data Engineering, Industrial Engineering, Python (Programming Language), Service Scheduling, Software as a Service (SaaS)