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Senior Scientist, Upstream Fermentation R&D
Differential.bio · Munich
Publicada em 29/09/2026
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Role summary:We’re hiring a Senior Scientist, Upstream Fermentation R&D to build out Differential’s wet lab capabilities and help deliver customer projects in various domains, ranging from Probiotics to Specialty Chemicals.You will drive delivery across a growing pipeline of customer projects end-to-end, from scoping research and project plans to hands-on assay development and microbiology work, all while managing time, budget, and quality.In close collaboration with lab automation and bioinformatics, you’ll define scalable, model-ready workflows and develop the methods, instrumentation, and tools that make them reliable in production.You will design and run media and cultivation experiments, develop assays, and generate AI-ready datasets to drive data-driven optimizations across a range of industrially relevant microbes and applications.You’ll work closely with our existing microbiology team, help scale it further, and coach junior team members on experimental execution, documentation standards, and reproducibility.You share our vision and actively evangelize data/AI/robotics-driven media and bioprocess optimization as the engine of the Bioeconomy’s Future.If this is you, apply and tell us how you’ll put it into practice.Key responsibilities:Lead cultivation and study of a broad range of microbial species, from our current focus on lactic acid bacteria to industry workhorses such as E. coli, P. pastoris, and B. subtilis; also handle strains with challenging traits.Develop media to enhance productivity and stability at lab scale, with the potential (not required) to extend into bioprocess development (e.g., feeding strategies, temperature, pH) at lab and production scale.Design, validate, and standardize assays that inform media/bioprocess choices and support strain characterization, functional testing, and QC.Translate customer requirements into lean, milestone-driven scientific research plans that optimize speed, cost, and decision quality in a resource-consci
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