Job Opportunities API

Bei Johnson & Johnson glauben wir, dass Gesundheit alles ist. Unsere Stärke bei Innovationen im Gesundheitswesen versetzt uns in die Lage, eine Welt aufzubauen, in der komplexe Krankheiten verhindert, behandelt und geheilt werden, in der Behandlungen intelligenter und weniger invasiv sind und Lösungen persönlich sind. Durch unsere Expertise in innovativer Medizin und MedTech sind wir in einer einzigartigen Position, um heute über das gesamte Spektrum von Gesundheitslösungen hinweg Innovationen zu entwickeln, um die Durchbrüche von morgen zu liefern und die Gesundheit der Menschheit nachhaltig zu beeinflussen. Weitere Informationen finden Sie unter jnj.com Angeleitet von unserem Credo übernimmt Johnson & Johnson Verantwortung gegenüber allen Mitarbeitenden weltweit. Wir bieten ein integratives Arbeitsumfeld, in dem jede Person als Individuum betrachtet wird. Bei Johnson & Johnson respektieren wir die Vielfalt und Würde unserer Mitarbeitenden und erkennen ihre Verdienste an. Tätigkeitsbereich: Discovery & Pre-Clinical/Clinical Development Unterfunktion Der Tätigkeit: Pharmaceutical Product R&D Tätigkeitskategorie: Scientific/Technology Alle Standorte Für Stellenangebote: Beerse, Antwerp, Belgium Jobbeschreibung: 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 Join us as a lab informatician and help build the next generation of digital and agentic capabilities for Synthetic Molecule Analytical Development. You will contribute as an agentic AD developer within one focused analytical program . Your impact will come from building useful, working capabilities close to the scientific work, in collaboration with analytical domain experts, a domain leader, key users, and digital partners. We are looking for someone who can sit close to the science and close to the code. The ideal candidate does not need to be the most senior developer in the room. The stronger fit is someone with enough technical skill to build, enough scientific curiosity to understand the problem, and enough pragmatism to deliver something useful with real users. This person should like working in small, focused teams where the developer, domain leader and key user stay close together. In this model, the developer builds fast, the domain leader owns the scientific intent and acceptance criteria, and the key user tests whether the solution works in real analytical practice. The ambition is to move towards reusable analytical co-scientist capabilities that support product understanding, method development, evidence generation, and CMC decision-making. We will get there by building small, meaningful capabilities, learning from real use, and improving the roadmap through evidence rather than assumptions. This role sits in the Technology and Transformation Alliances team and will contribute directly to the future of Analytical Development by combining lab informatics, data, coding, and scientific domain understanding. Primary responsibilities: • Develop and maintain focused digital solutions, prototypes, and agentic workflows using Python and relevant application frameworks. • Translate analytical use cases into practical data workflows, user interfaces, scripts, and reusable components. • Work closely with an experienced domain leader and hands-on key users to understand scientific intent, acceptance criteria, and real workflow needs. • Collaborate with digital/data partners to align with existing platforms, enterprise tools, coding practices, and reusable architecture. • Build small increments that can be tested quickly, improved through feedback, and scaled only when they demonstrate value. • Help connect available analytical data sources where appropriate, while clearly identifying missing data, quality gaps, and workflow constraints. • Support development of capabilities such as data retrieval, evidence structuring, quality checks, comparison logic, reporting drafts, recommendation support, or workflow automation. • Document your work clearly so that capabilities can be understood, maintained, and reused by others. • Support troubleshooting, refinement, and basic lifecycle maintenance of the solutions you build. • Contribute to a learning-oriented, agile way of working where the first goal is useful capability development, not perfect architecture. Qualifications Education: • Master’s degree or equivalent experience in a relevant field such as bioengineering, chemistry, pharmaceutical sciences, computer science, data science, engineering, statistics, or a related discipline. • A PhD is not required. Required: • Early-career professional with relevant experience or strong demonstrated capability in lab informatics, scientific computing, data science, automation, or software development. • Practical programming experience in Python. • Interest in analytical development, lab workflows, scientific data, and pharmaceutical R&D. • Ability to translate a scientific or workflow problem into a practical digital solution. • Willingness to work iteratively, test with users, and improve based on feedback. • Basic understanding of data handling, APIs, databases, notebooks, dashboards, or web applications. • Strong collaboration skills and ability to work with scientists, IT/digital partners, and domain experts. • Clear communication style, including the ability to document assumptions, limitations, and next steps. • Curiosity, ownership, and willingness to learn both the technical and analytical domain. Preferred: • Experience or affinity with analytical development labs, chromatography, LC/MS, dissolution, stability, PAT, laboratory automation, ELN, LIMS, CDS, or related workflows. • Experience with Python frameworks such as Flask, FastAPI, Django, Dash, Streamlit, or similar. • Experience with JavaScript, TypeScript, React, or other front-end tools. • Familiarity with AI/ML, LLM-based workflows, retrieval-augmented generation, agents, or scientific decision-support tools. • Experience working in a regulated or quality-sensitive environment. • Familiarity with cloud, containers, Git, CI/CD, or enterprise software development practices. • Ability to work with imperfect data and still deliver useful, transparent, scientifically grounded outputs. Working conditions You will work on one analytical co-scientist or agentic capability lane, selected based on your strengths, scientific affinity, and the needs of the program. This could include areas such as LC and impurity evidence, stability evidence, dissolution, PAT, analytical chemistry, or control strategy & product integration. Your main responsibility is to help design, build, test, and improve practical digital capabilities that support analytical scientists in their day-to-day work. You will work iteratively, with close feedback from hands-on users, so that development stays connected to real scientific problems and avoids unnecessary translation. DPDS Erforderliche Fähigkeiten: Wünschenswerte Fähigkeiten: Bericht Schreiben, Coaching, Entwicklung von Arzneimittelentdeckungen, Forschungsdokumente, Forschungvorhaben, Kritisches Denken, Marktforschung, Organisieren, Pharmazeutische Trends, Pharmazeutische Wissenschaften, Produktentwicklung, Produktstrategien, Technologisch versiert, Wissenschaftliche Forschung, Wissenschaftliche Standardabläufe und -verfahren, Zielerreichung, Zusammenarbeit Die erwartete jährliche Basisvergütung für diese Position beträgt: €72,500.00 - €115,230.00 Leistungen: Zusätzlich zur Basisvergütung bieten wir folgende Benefits an*: Einen Jahresbonus mit festgelegtem Ziel (% der Vergütung) je nach Gehaltsband/Standort, wobei der tatsächliche Betrag auf der Leistung der Mitarbeitenden und dem Jahresergebnis des Unternehmens des vorherigen Kalenderjahres, oder auf den Verkaufsprovisionen basiert. Darüber hinaus bieten wir Urlaubstage, Elternzeit für mindestens 12 Wochen, Freistellung im Trauerfall, Freistellung für Pflegezeit, Freistellung für ehrenamtliche Tätigkeiten, Fitness-Erstattungsprogramme, sowie Programme für das finanzielle, körperliche und psychische Wohlbefinden an. Es gibt außerdem Dienstjubiläen und Prämien für besondere Leistungen. Zudem können Mitarbeitende - und an einigen Standorten berechtigte Angehörige- abhängig von den Bedingungen des jeweiligen Versicherungsplans an mehreren Versicherungsplänen teilnehmen . Weitere Informationen finden Sie unter Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers. *Dies dient nur zu Informationszwecken. Beträge und tatsächliche Benefits können je nach Standort variieren und können sich ändern.