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Johnson & Johnson

IM Solid-State Automation & Data Lead

AgileFluent referralVisa sponsorship
On-site • Beerse, BEL • Lead • €74–118k / год
Зарплата
€74–118k / год
Опубликовано
7 мин назад
Описание

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 workflo...

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