Biosensor Specialist
Nanogami, Germany
Job Description
We are pioneering the next-generation biochip for research, diagnostics, and personalized medicine. Our biochip platform offers ultra-high feature density, modularity, and adaptability to integrate and enhance sequencing, transcriptomics, and proteomics applications. To realize this vision, SPRIND - Germany's Federal Agency for Disruptive Innovation funds Nanogami as one of six projects for the next five years (see article).
We are looking for a driven Biosensor Specialist to work on a novel nanotechnology application as part of an interdisciplinary team. You will develop models and simulations of the processes involved in the placement of single molecules and advanced sensing capabilities using DNA Origami nanostructures. Your work will directly lead to impactful real-world uses.
- Develop physical models of surface interactions of DNA nanostructures in solution
- Develop and analyze molecular simulations of DNA nanostructures
- Research and develop placement of DNA nanostructures on surfaces
- Closely collaborate with experimental scientists to guide research and development and to understand underlying processes
- Work with an interdisciplinary team to develop the next generation of biochip
Requirements
- PhD or equivalent experience, with a focus on nano biosensor modelling or simulations, statistical physics and/ or thermodynamics
- Expertise in simulations or modelling - for example for Ion atmospheres around biomolecules and surfaces, Electrostatic interactions between charged particles/surfaces or Surface adsorption of biomolecules
- Theoretical understanding of polyelectrolyte behaviour
- Preferred: Experience in simulations or modelling of molecular self-assembly or colloid dynamics
- Strong communication and presentation skills
- Creative, proactive, and results-oriented
- Fluent in English
Benefits
- A supportive team
- Diverse and challenging tasks in a fast-growing startup
- Join a interdisciplinary and driven team
- Develop innovative technology with direct real-world impact
- Above-average remuneration