Overview
Role summary: At Differential Bio, our mission is to unlock the potential of the bioeconomy by fixing how biological R&D and scale-up are done . Today, bioprocess development is slow, expensive, and limited by the economics of lab hardware. A typical system runs 4, 8, or 24 bioreactors in parallel, and a single run can cost anywhere from hundreds to several thousand dollars. Our ambition is different: 100 parallel bioreactor runs at around $10 per run. Why does that matter? Because radically reducing the cost per insight changes what is possible. Instead of running a handful of carefully selected experiments, we can generate dense, standardized datasets across thousands of conditions. That data is at the core of Differential Bio. First, we automate high-throughput data generation. Then we use our proprietary datasets to train AI models that understand how bioprocesses behave across conditions and scales - with the long-term goal of building a digital twin of fermentation at any scale . We have already built two end-to-end automated fermentation pods that operate continuously and generate experimental data every week. Being vertically integrated all the way down to the physical lab has proven to be a major advantage for us. Now we are hiring the first role dedicated entirely to lab automation . You will take over this domain from our founder and CTO, Martin, report directly to him, and own how our automation platform develops from here. This is, in many ways, the role we always wished existed : high autonomy, genuinely difficult engineering problems, the freedom and resources to solve them properly, and a mission worth the hard work. This is not a role for someone who wants to select the next six-figure laboratory automation system from a catalogue. We want someone who looks at a €500,000 solution and asks: Why does this cost €500,000? What problem are we actually solving? And could we achieve the same outcome - or a better one - for a fraction of the cost an
Full job description
Role summary: At Differential Bio, our mission is to unlock the potential of the bioeconomy by fixing how biological R&D and scale-up are done . Today, bioprocess development is slow, expensive, and limited by the economics of lab hardware. A typical system runs 4, 8, or 24 bioreactors in parallel, and a single run can cost anywhere from hundreds to several thousand dollars. Our ambition is different: 100 parallel bioreactor runs at around $10 per run. Why does that matter? Because radically reducing the cost per insight changes what is possible. Instead of running a handful of carefully selected experiments, we can generate dense, standardized datasets across thousands of conditions. That data is at the core of Differential Bio. First, we automate high-throughput data generation. Then we use our proprietary datasets to train AI models that understand how bioprocesses behave across conditions and scales - with the long-term goal of building a digital twin of fermentation at any scale . We have already built two end-to-end automated fermentation pods that operate continuously and generate experimental data every week. Being vertically integrated all the way down to the physical lab has proven to be a major advantage for us. Now we are hiring the first role dedicated entirely to lab automation . You will take over this domain from our founder and CTO, Martin, report directly to him, and own how our automation platform develops from here. This is, in many ways, the role we always wished existed : high autonomy, genuinely difficult engineering problems, the freedom and resources to solve them properly, and a mission worth the hard work. This is not a role for someone who wants to select the next six-figure laboratory automation system from a catalogue. We want someone who looks at a €500,000 solution and asks: Why does this cost €500,000? What problem are we actually solving? And could we achieve the same outcome - or a better one - for a fraction of the cost an
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Verification notes
Atlas location:city; evidence: Munich
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