in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or synthetic biology Desirable: Experience with genomic data analysis, automation platforms More ❯
Experience leading cross-functional sustainability programs in a regulated, innovation-driven industry (e.g., life sciences, biotech, pharma, or chemicals) desireable. Familiarity with sustainable innovation frameworks (e.g., circular economy, green chemistry, sustainable R&D). Strong understanding of ESG frameworks, reporting standards (CSRD/ESRS, SASB, TCFD, TNFD), and regulatory requirements. Understanding of sustainability-related financial instruments and investor expectations (e.g. More ❯
tackle some of the biggest scientific challenges of our time. This is your chance to apply AI and automation at scale to reimagine how discovery happens in materials science, chemistry, and the life sciences. Why this role matters Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials. Partner with leading scientists, engineers, and technologists … before. What you’ll do Lead and contribute to the design and implementation of AI-driven discovery pipelines. Apply deep learning, foundation models, and generative approaches to problems in chemistry, materials, and the biosciences. Integrate with automated labs and high-throughput platforms to run closed-loop experiments. Collaborate with domain experts to ensure solutions address real scientific needs. Mentor and … guide other scientists, setting the standard for technical excellence. What we’re looking for PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields. Proven experience applying state-of-the-art ML models to real-world problems. Experience with generative modelling and/or automated laboratory systems. Strong track record of working with complex, large-scale More ❯
tackle some of the biggest scientific challenges of our time. This is your chance to apply AI and automation at scale to reimagine how discovery happens in materials science, chemistry, and the life sciences. Why this role matters Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials. Partner with leading scientists, engineers, and technologists … before. What you’ll do Lead and contribute to the design and implementation of AI-driven discovery pipelines. Apply deep learning, foundation models, and generative approaches to problems in chemistry, materials, and the biosciences. Integrate with automated labs and high-throughput platforms to run closed-loop experiments. Collaborate with domain experts to ensure solutions address real scientific needs. Mentor and … guide other scientists, setting the standard for technical excellence. What we’re looking for PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields. Proven experience applying state-of-the-art ML models to real-world problems. Experience with generative modelling and/or automated laboratory systems. Strong track record of working with complex, large-scale More ❯
