Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.mpg.de
Scientist/Engineer (m/f/d) in Automated Biology
- Location
- Dresden
- Remote
- On-site
- Employment type
- Full-time, Temporary Work
- Experience
- Junior
- Field
- Engineering
- Application deadline
- Nov 20, 2026
Requirements at a glance
- PhD in Science or Engineering (Preferred)
- Master degree (Preferred)
- Laboratory protocol development (Required)
- Python (Required)
- Project management (Required)
- English (Required)
- Laboratory robotics (Preferred)
RequiredPreferred
Today
Scientist/Engineer (m/f/d) in Automated Biology
Scientist Dresden
Developmental and Evolutionary Biology & Genetics Neurosciences Structural and Cell Biology
Job Code: 2026-Postdoc-Automation-1132
Job Offer from October 29, 2026
The newly established Automated Biology Facility develops automated experimental workflows for the institute’s research groups and core facilities. Combining experimental biology with laboratory robotics, software development, and data acquisition, we transform biological protocols into robust, reproducible systems. Our projects range from routine liquid handling to complex experimental pipelines, integrating existing laboratory instruments and developing custom devices for tasks such as sample preparation, dissection, and quantitative imaging. We aim to generate well-characterised quantitative datasets and link automated experiments with physical models, enabling closed-loop workflows in which measurements inform models and model predictions guide subsequent experiments.
Your role
Within this framework, you will translate biological protocols into reliable, reproducible automated workflows for research groups across MPI-CBG. Combining hands-on laboratory work, robotics, and software development, you will take projects from initial feasibility assessment to validated systems ready for routine use. Your tasks will include:
- Working with research groups to define scientific goals, biological constraints, technical requirements, and criteria for success.
- Independently planning and managing projects, assessing feasibility, setting milestones, and communicating progress and resource needs.
- Developing and refining automated experimental methods, from sample preparation and liquid handling to experimental execution and data acquisition.
- Integrating laboratory instruments and robotic systems for reliable operation across experimental procedures.
- Developing, testing, and maintaining software for instrument control, experimental processes, and data processing, using version control and well-documented code.
Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
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