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IM Solid-State Automation & Data Lead

Pay
€74,000–117,530/year · BaseAnnual period assumed — pay source
The anticipated base pay range for this position is: €74,000.00 - €117,530.00 Benefits:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead design and scaling of automated solid-state workflows and reusable platforms

  • Integrate lab equipment, automation platforms and digital systems

  • Design and run solid-form screening and characterization studies

  • Set experiment definitions, data standards and automated analysis workflows

  • Pilot emerging high-throughput and AI-enabled technologies

From the employer’s posting
Lead the mapping, design, implementation and scaling of automated solid-state workflows
Integrate laboratory equipment, automation platforms and digital systems
Design and execute solid-form screening and characterization studies
Translate solid-state expertise into experiment definitions, data standards, decision rules and automated analysis and reporting workflows.
Scout, evaluate and pilot emerging technologies, including high-throughput, miniaturized and AI-enabled approaches

What you’ll bring

All qualifications

Core experience

  • Hands-on understanding of solid-state characterization and interpretation of complex experimental data, with the ability to translate scientific workflows into structured, reproducible, automation-ready processes.
  • Experience with high-throughput screening, miniaturized experimentation, robotics or laboratory orchestration.
  • Hands-on experience using programming and scripting tools, such as Python, to automate experimental workflows, process data or connect laboratory systems.
  • Experience with data pipelines, informatics, modelling or automated analysis and reporting.
Qualification wording
Hands-on understanding of solid-state characterization and interpretation of complex experimental data, with the ability to translate scientific workflows into structured, reproducible, automation-ready processes.
Experience with high-throughput screening, miniaturized experimentation, robotics or laboratory orchestration.
Hands-on experience using programming and scripting tools, such as Python, to automate experimental workflows, process data or connect laboratory systems.
Experience with data pipelines, informatics, modelling or automated analysis and reporting.
Education & alternatives
Required Qualifications - MSc or PhD in chemical engineering, chemistry, pharmaceutical or materials sciences, engineering, computer/data science, or a related discipline. - Demonstrated hands-on experience bridging solid-state science and laboratory automation. Candidates with a scientific background should bring practical automation experience; candidates with an engineering/digital background should bring practical experience in solid-state science and crystallization.

Benefits in the posting

Full benefits wording
  • In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.
  • *This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

From the employer’s posting.

Apply at Johnson & Johnson

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 20264 days ago
Recorded sightings
4
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 6 and day 56.

At Johnson & Johnson, jobs usually come down by about day 13.

From 13,745 similar postings that came down, and 460 of Johnson & Johnson’s. Coming down is not always a hire.

Johnson & Johnson is hiring

45 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
Where the posting names them
- Technical knowledge of automation systems, laboratory equipment and digital integration technologies such as SiLA2, OPC UA, and REST APIs. - Hands-on experience using programming and scripting tools, such as Python, to automate experimental workflows, process data or connect laboratory systems. - Strong collaboration, influencing and communication skills across scientific, engineering and digital disciplines; a proactive, organized mindset and the ability to take ownership and drive implementation across teams.

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About Johnson & Johnson

People
About 138,200 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as JNJ.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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:

Pharmaceutical Product R&D

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

This position is based in Beerse, Belgium. Relocation support may be provided for qualified candidates in accordance with company policy.


Job Overview

You will identify, design, implement and scale automation and data solutions for pharmaceutical solid-state design that accelerate drug development and contribute to Johnson & Johnson's long-term AI/digital transformation strategy. Working with Solid State Sciences, High-Throughput Preformulation Sciences (HTPS), the Crystallization Technology Unit (CTU) and digital/automation partners, you will build connected, reusable workflows that make solid-state experimentation faster, more consistent and more data-rich, while contributing solid-state expertise to development programs.


Key Responsibilities

  • Lead the mapping, design, implementation and scaling of automated solid-state workflows, translating scientific and business requirements into practical solutions and reusable platforms.
  • Integrate laboratory equipment, automation platforms and digital systems to create connected, data-enabled laboratory environments that improve efficiency, throughput and data quality.
  • Translate solid-state expertise into experiment definitions, data standards, decision rules and automated analysis and reporting workflows.
  • Design and execute solid-form screening and characterization studies to develop, validate and apply automated workflows, interpreting data from techniques such as XRPD, thermal analysis, DVS, spectroscopy and microscopy to support form selection and development decisions.
  • Partner with HT groups, CTU, engineering, robotics, laboratory orchestration, data science and project teams to deliver scientifically fit-for-purpose solutions aligned with broader automation capabilities.
  • Scout, evaluate and pilot emerging technologies, including high-throughput, miniaturized and AI-enabled approaches, that reduce manual effort and subjectivity and move solid-state workflows toward closed-loop experimentation.
  • Document workflows, maintain reusable code, data structures and knowledge, and support training and sustained adoption across the portfolio.
  • Communicate scientific recommendations and outcomes through technical reports, project updates and scientific forums.

Required Qualifications

  • MSc or PhD in chemical engineering, chemistry, pharmaceutical or materials sciences, engineering, computer/data science, or a related discipline.
  • Demonstrated hands-on experience bridging solid-state science and laboratory automation. Candidates with a scientific background should bring practical automation experience; candidates with an engineering/digital background should bring practical experience in solid-state science and crystallization.
  • Substantial academic or industrial experience in solid-state science, crystallization, pharmaceutical development or laboratory automation, with demonstrated scientific or technical leadership.
  • Hands-on understanding of solid-state characterization and interpretation of complex experimental data, with the ability to translate scientific workflows into structured, reproducible, automation-ready processes.
  • Technical knowledge of automation systems, laboratory equipment and digital integration technologies such as SiLA2, OPC UA, and REST APIs.
  • Hands-on experience using programming and scripting tools, such as Python, to automate experimental workflows, process data or connect laboratory systems.
  • Strong collaboration, influencing and communication skills across scientific, engineering and digital disciplines; a proactive, organized mindset and the ability to take ownership and drive implementation across teams.

Preferred / Nice-to-Have

  • Experience with high-throughput screening, miniaturized experimentation, robotics or laboratory orchestration.
  • Experience with data pipelines, informatics, modelling or automated analysis and reporting.
  • Exposure to AI-supported laboratory workflows, digital twins, autonomous laboratories or closed-loop experimentation.
  • Broader knowledge of pharmaceutical product and process development, complemented by experience deploying new workflows in cross-functional R&D environments.

 

 

Required Skills:

Cross-Functional Leadership, Laboratory Automation, Laboratory Robotics, Scientific Data Management, Technology Implementations

 

 

Preferred Skills:

  

 

The anticipated base pay range for this position is:

€74,000.00 - €117,530.00

 

 

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

 

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

Source details

View original posting ↗

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Pay
The anticipated base pay range for this position is: €74,000.00 - €117,530.00 Benefits:
Location & working pattern

Beerse, Antwerp, Belgium

Working pattern and location restrictions need checking in the full posting.

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