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Designing and programming high-throughput lab workflows with orchestration systems and hardware abstraction layers. 5+ years software engineering and hardware integration required. Building software and integration frameworks, C# or Python proficiency.
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Anforderungen
- 5+ years software engineering and hardware integration
- Programming commercial liquid-handling/laboratory automation platforms
- Integrating robotic manipulators
- Proficient in C# or Python
- Building software and integration frameworks
- Familiarity with molecular biology, biochemistry, or wet lab workflows
- Translating scientific needs into engineering solutions
- Prototyping design experience
- CNC milling, laser cutting, and CAD
- Clear communication skills
- Collaboration with scientists and multidisciplinary teams
- Building complete solutions
- Skilled at using APIs and SDKs
- Interacting with complex laboratory software ecosystems
- Designing workflow orchestration or scheduling systems
- Managing shared resources, dependencies, and priorities
- Skilled with computer vision models
- Automated error handling and object/anomaly detection
- Training, evaluating, or adopting AI/ML models
- Reinforcement or imitation learning for robotics
- Building and evaluating AI-enabled systems
- Defining evals, establishing guardrails, measuring reliability
- Knowledgeable about sensors, microcontrollers, and task-and-motion planning
- Familiar with cloud infrastructure and digital twin simulation
Aufgaben
- Design, program, and troubleshoot high-throughput lab workflows
- Build orchestration systems, hardware abstraction layers, and instrument drivers
- Manage retries and allow unattended operation
- Implement logging, metrics, and alerts across hardware and software
- Identify failures and fix root causes using software or vision models
- Build systems to maintain a digital representation of the lab
- Connect instruments via APIs
- Integrate with LIMS and ELNs
- Manage hardware requirements, site constraints, reagent selection, and work cell integration
- Turn scientific processes into technical architectures
Berufserfahrung
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Tools & Technologien
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