Empleo / Johnson & Johnson

Johnson & Johnson

Postdoctoral Scientist – AI/ML

Ubicación
Ubicaciones: 4
Publicada
hoy

La oferta

En Johnson & Johnson creemos que la salud lo es todo. Nuestra fuerza en la innovación en la atención médica nos permite construir un mundo en el que se eviten, traten y curen enfermedades complejas, en el que los tratamientos sean más inteligentes y menos invasivos, y las soluciones sean personales. A través de nuestra experiencia en Medicina Innovadora y MedTech, estamos en una posición única para innovar en todo el espectro de soluciones de atención médica de hoy para ofrecer los avances del futuro y afectar profundamente a la salud para la humanidad. Obtenga más información en jnj.com Guiados por nuestro Credo, en Johnson & Johnson somos responsables de nuestros empleados que trabajan con nosotros en todo el mundo. Proporcionamos un entorno laboral inclusivo donde cada persona es tratada como individuo. En Johnson & Johnson, respetamos la diversidad y la dignidad de nuestros empleados y reconocemos sus méritos. Función de trabajo: Career Programs Subfunción de trabajo: Post Doc – Data Analytics & Computational Sciences Categoría de trabajo: Career Program Todas las ubicaciones de colocación de trabajo: Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America Descripción del trabajo: Johnson & Johnson Innovative Medicine is recruiting a Postdoctoral Scientist – AI/ML to join the Data, Data Science & Artificial Intelligence (DDSAI) organization for a two-year fixed-term position. In this role, you will advance cutting-edge AI/ML approaches, biological sequence modeling, and generative AI technologies to address critical challenges in drug discovery and therapeutic design. This position can be based in Beerse, Belgium; Madrid, Spain; Cambridge, MA; Spring House, PA. At Johnson & Johnson Innovative Medicine, we are working to create a world without disease by transforming lives through innovative approaches to prevent, intercept, treat, and cure disease. We bring together leading scientific talent, breakthrough technologies, and deep therapeutic expertise to develop the next generation of medicines. Through collaboration and innovation, we strive to improve health outcomes for patients around the world. Within DDSAI, our teams develop innovative AI/ML solutions that accelerate the discovery and development of next-generation therapeutics. We are seeking a highly motivated and innovative Postdoctoral Scientist to work at the intersection of advanced AI/ML and drug discovery. The role focuses on advancing foundation models, deep generative models, and representation learning approaches for biological sequences and related modalities, while establishing lab-in-the-loop workflows that tightly integrate AI-guided design with experimental validation. By leveraging large-scale and complex biological datasets, the candidate will generate novel scientific insights, develop predictive and optimization frameworks, and contribute to impactful applications across the drug discovery pipeline. A successful candidate should demonstrate strong expertise in modern AI/ML methods, a proven ability to develop and rigorously evaluate new methodologies, and a track record of publishing research in leading AI/ML conferences and peer-reviewed journals. Key Responsibilities - Conceive, develop, and validate innovative AI/ML approaches to address challenging problems in drug discovery and design. - Design and implement foundation models, deep generative models, and representation learning approaches for biological sequences and related biological modalities. - Establish and execute lab-in-the-loop workflows that integrate AI-driven design with wet-lab experimentation, accelerating iterative optimization and biological validation. - Analyse and interpret large-scale, complex biological datasets to generate novel scientific insights and hypotheses. - Collaborate with multidisciplinary teams across computational biology, machine learning, and experimental sciences to translate methodological advances into impactful drug discovery applications. - Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making. - Follow standard processes for documentation and maintaining an up-to-date code repository. - Draft manuscripts and disseminate research findings internally and externally (e.g., publishing in top ML conferences). Qualifications - Ph.D.* in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, or a related quantitative major. (*PhD completed within the last 3 years or to be completed within the next 6 months.) - Strong technical expertise in AI/ML, with demonstrated excellence in one or more areas, such as sequence modeling, geometric deep learning, deep generative model (e.g., diffusion and flow matching), and foundation model, supported by a strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). - Solid working knowledge of deep-learning architectures and techniques (e.g., transformers, graph neural networks, geometric deep learning, etc.). - Experience in developing foundation models and/or generative models of biological sequences in related applications, such as representation learning, property prediction, and optimization, is a plus. - Proficiency with one or more programming languages, preferably Python, and proficiency in one or more AI frameworks such as PyTorch. - Strong communication skills, with the ability to present analytical results on behalf of the project team in a multi-functional setting, contextualizing how the work fits within the broader project. - This position will be based at any of the following locations: Beerse, Belgium; Madrid, Spain; Cambridge, MA; Spring House, PA. Habilidades requeridas: Habilidades deseables: El intervalo de salario base anual previsto para esta posición es: €60,000.00 - €96,255.00 Beneficios: Además del salario base, ofrecemos los siguientes beneficios*: Una bonus variable anual con un objetivo o target preestablecido (% del salario fijo) en función del pay grade/ubicación, donde el importe a percibir se basa en el desempeño que hayan tenido durante el año natural anterior tanto los empleados como las empresas, o comisiones de ventas. Además, ofrecemos días de vacaciones, permiso parental por un mínimo de 12 semanas, permiso por duelo, permiso para cuidadores, permiso de voluntariado, reembolso de bienestar, programas de salud financiera, física y mental. Además, ofrecemos premios por aniversario de servicio y reconocimiento, y con sujeción a los términos de sus respectivos planes, los empleados, y los dependientes elegibles de algunas ubicaciones, pueden participar en varios planes de seguro. Para obtener más información, visite Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers. *Lo anterior se facilita con fines exclusivamente informativos. Los importes y los beneficios reales pueden variar según la ubicación y están sujetos a cambios.