Cellcraft

Role Description - Lead integration of Cellcraft IQ at customer sites, connecting to bioreactor systems via Modbus TCP, OPC UA, and PROFINET - Design data pipelines for acquisition, cleaning and structuring of high-frequency sensor and process data - Integrate ML models with embedded controllers and supervisory control systems - Contribute to software architecture for scalable deployment of control and analytics systems - Work directly with customer technical teams to scope, configure, and validate deployments - Collaborate closely with Cellcraft's senior integration engineer (UK-based) throughout each deployment - Troubleshoot integration issues across diverse bioreactor OEM environments - Document configurations, integration steps, and site-specific setups for each customer - Act as the primary technical point of contact for customers during and after onboarding - Feed field observations and customer feedback back to the product and engineering team - May also include travel to customer facilities as required for on-site commissioning and support Qualifications - Strong Python programming: NumPy, Pandas, SciPy, scikit-learn (production code, not just notebooks) - Control systems fundamentals: State-space representation, PID tuning, stability analysis - Time-series methods: Kalman filtering, ARIMA, or recurrent neural networks (LSTM/GRU) - Real-time systems experience: Low-latency data processing, asynchronous programming, embedded constraints - Industrial protocols: Modbus, OPC-UA, MQTT, or similar SCADA/IoT communication standards - Domain Knowledge: Understanding of feedback control in dynamic systems - Experience working with noisy sensor data and signal filtering techniques - Ability to interpret process dynamics from time-series data (lag, dead time, oscillations) - Degree in Control Engineering, Computer Science, Chemical/Bioprocess Engineering, or related quantitative field Requirements - Must have existing right to work in Singapore - Fluent in English Benefits - Equity participation with the potential to share in the company’s long term success - Opportunity to work on real world physical AI systems applied to biomanufacturing - Build algorithms that move from experimental data to production scale systems - Exposure to a fast growing field at the intersection of machine learning, biology and industrial automation - Opportunity for significant responsibility and rapid career progression as the technology scales - Contribute to technologies enabling sustainable food and medicine production - Backed by the University of Cambridge Judge Business School and leading international venture capital investors - Potential for a full time role and competitive salary following successful completion of the project Company Description - We are a B2B, cultured meat company based in the Cambridge, UK - We are pre-series A stage, backed by some leading foodtech VCs, the University of Cambridge Judge Business School and strategic partners

• Lead integration of Cellcraft IQ at customer sites, connecting to bioreactor systems via Modbus TCP, OPC UA, and PROFINET • Design data pipelines for acquisition, cleaning and structuring of high-frequency sensor and process data • Integrate ML models with embedded controllers and supervisory control systems • Contribute to software architecture for scalable deployment of control and analytics systems • Work directly with customer technical teams to scope, configure, and validate deployments • Collaborate closely with Cellcraft's senior integration engineer (UK-based) throughout each deployment • Troubleshoot integration issues across diverse bioreactor OEM environments • Document configurations, integration steps, and site-specific setups for each customer • Act as the primary technical point of contact for customers during and after onboarding • Feed field observations and customer feedback back to the product and engineering team • May also include travel to customer facilities as required for on-site commissioning and support