Overview
Role summary: At Differential Bio, we combine data, AI, and lab automation to optimize media and bioprocesses - building the intelligence engine for the bioeconomy’s future. We turn wet-lab experiments into model-ready datasets that train our machine-learning models, making microbial production faster, cheaper, and more predictable for customers in probiotics, food, and specialty chemicals. We are seeking a motivated and detail-oriented working student (part-time, ~15–20 h/week, ideally 6+ months) to support our R&D activities in microbiology and robot-driven high-throughput screening in our automated lab and to help deliver customer projects in various domains, ranging from probiotics to specialty chemicals. You’ll join a small, driven team, including the founders, at an early and defining stage of a growing biotech company. Upon good performance, this working student position offers direct opportunities to join a pioneering team at the forefront of digital biology and biotechnology. You’ll work directly with our Senior Scientists and the wider microbiology team, who will mentor you on experimental execution, documentation standards, and reproducibility - and you’ll see first-hand how your data closes the loop with our data science and AI team . Key responsibilities: Assist in preparation of media, reagents, and buffers under sterile conditions Support microbial cultivation , including sampling, plating, and incubation Perform basic microbiological assays and support data collection and documentation Support media and cultivation experiments, including the setup of plate-based design-of-experiment (DoE) runs Support assay development and validation runs Capture and document data in structured, model-ready templates that feed AI/ML model training and downstream analysis by our data science team Operate and maintain laboratory equipment and our lab automation platform (e.g., liquid-handling robots, plate readers, automated incubators) - including set
Full job description
Role summary: At Differential Bio, we combine data, AI, and lab automation to optimize media and bioprocesses - building the intelligence engine for the bioeconomy’s future. We turn wet-lab experiments into model-ready datasets that train our machine-learning models, making microbial production faster, cheaper, and more predictable for customers in probiotics, food, and specialty chemicals. We are seeking a motivated and detail-oriented working student (part-time, ~15–20 h/week, ideally 6+ months) to support our R&D activities in microbiology and robot-driven high-throughput screening in our automated lab and to help deliver customer projects in various domains, ranging from probiotics to specialty chemicals. You’ll join a small, driven team, including the founders, at an early and defining stage of a growing biotech company. Upon good performance, this working student position offers direct opportunities to join a pioneering team at the forefront of digital biology and biotechnology. You’ll work directly with our Senior Scientists and the wider microbiology team, who will mentor you on experimental execution, documentation standards, and reproducibility - and you’ll see first-hand how your data closes the loop with our data science and AI team . Key responsibilities: Assist in preparation of media, reagents, and buffers under sterile conditions Support microbial cultivation , including sampling, plating, and incubation Perform basic microbiological assays and support data collection and documentation Support media and cultivation experiments, including the setup of plate-based design-of-experiment (DoE) runs Support assay development and validation runs Capture and document data in structured, model-ready templates that feed AI/ML model training and downstream analysis by our data science team Operate and maintain laboratory equipment and our lab automation platform (e.g., liquid-handling robots, plate readers, automated incubators) - including set
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Verification notes
Atlas location:city; evidence: Munich
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