Senior Scientist, Lab Automation

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 jnj.com .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Biological Research

Job Category:

Scientific/Technology

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 searching for the best talent for Senior Scientist, Lab Automation & Screening Operations in Beerse, Belgium.

Purpose:

We are seeking a scientifically curious and digitally minded scientist to help advance discovery operations through the integration of scientific data, assay development, automation, and emerging digital technologies.

Working in partnership with stakeholders across science, informatics, and data science, you will help design and implement innovative workflows, platforms, and capabilities that improve the efficiency, scalability, and impact of screening and profiling activities.

You will be responsible for:

Scientific Discovery & Data Excellence

• Support the development, optimization, and transfer of screening and profiling assays into automated environments.
• Enable the generation, integration, and management of high-quality scientific data across discovery workflows.
• Develop data workflows and analytics solutions using digital tools and platforms to improve data accessibility, quality, and scientific value.
• Partner with scientists and informatics teams to ensure data is fit for advanced analytics, modeling, and AI applications.

Digital Platforms, Automation & Workflow Integration

• Drive continuous improvement of laboratory automation, digital workflows, and scientific data platforms.
• Design, implement, and optimize integrated workflows across assay systems, laboratory automation, data repositories, and reporting environments.
• Act as a key stakeholder for scientific applications and workflow platforms, translating business needs into scalable digital solutions.
• Collaborate with Business Technology, automation specialists, and external partners to enhance capabilities and improve end-to-end process visibility and efficiency.

Innovation, AI & Future Capabilities

• Explore and implement emerging technologies that accelerate scientific discovery, including AI-assisted workflows, advanced analytics, and intelligent automation.
• Enable AI-ready data ecosystems and support the evolution of next-generation discovery platforms.
• Identify opportunities to transform scientific challenges into innovative solutions that improve decision‑making and operational effectiveness.
• Champion a culture of innovation, continuous improvement, and digital transformation.

Qualifications/Requirements:

Required

• Bachelor's, Master's or PhD in Life Sciences, Biomedical Sciences, Biotechnology, Bioengineering, Data Science, Computer Science, or a related field.
• Minimal of 5 years experience in assay development, screening operations, scientific data management, laboratory automation, informatics, or related disciplines.
• Demonstrated ability to work at the interface of science, data, and technology to improve workflows, data quality, or operational efficiency.
• Strong analytical, troubleshooting, communication, and stakeholder management skills

Preferred

• Experience with screening, profiling, and cell‑based assays.
• Experience with scientific data platforms such as Signals ELN, LiveDesign, Dotmatics LUMA or Genedata Biologics, Sapio or equivalent, Genedata, or related systems.
• Experience with workflow automation, data