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The ETH Zurich core facility NEXUS Personalized Health Technologies enables biomedical discovery and translational research for personalized health. We offer a broad range of expertise, from software engineering and biomedical data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation group specialises in screening technologies, assay development, complex cell systems and lab automation. Our projects range from biochemical screens to combinatorial chemical synthesis to sophisticated screening assays with patient-derived organoids.
Job description
We are looking for a highly skilled and motivated Lab Automation Scientist to join our dynamic team. The ideal candidate will have a strong background in screening and lab automation and a passion for streamlining laboratory processes. The Lab Automation Scientist will be deeply involved in advancing our capabilities in lab automation, contributing significantly to our research and development efforts.
Key Responsibilities:
Design, implement, and manage lab automation workflows
Program and operate a variety of lab automation and liquid handling systems
Collaborate with cross-functional teams to integrate automation solutions in laboratory settings
Ensure efficient and accurate execution of automated processes
Your profile
Required Qualifications:
Master's or PhD in Life Sciences, Engineering, or related field
At least 3 years of experience in programming and operating lab automation and liquid handling systems
Experience in adapting and optimizing cell-based and in-vitro assays
Familiarity with chemical libraries and relevant chemistry knowledge
Experience in specific software such as R, KNIME, and Python
Understanding of mammalian cell culture systems and 3D cell cultures
Core Skills:
Excellent organizational skills, including project coordination, document management and time management
Service-oriented mindset with excellent communication skills
Hands-on mentality in problem-solving
Strong technical affinity and ability to quickly learn new technologies
A precise and accurate working style
We offer
At NEXUS we value knowledge exchange and working together as an agile and highly performing team, where everyone brings in their own expertise and personality. The facility has flat hierarchies, offers flexible working hours and family-friendly working models. We provide many training opportunities and a broad and exciting field of work, at the cutting edge of translational research.
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application with the following documents:
cover letter outlining your motivation and experience
concise CV
diploma, reference letters and certificates of employment.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about NEXUS Personalized Health Technologies can be found on our website.Questions regarding the position should be directed to Eva Riegler, PhD, Group Leader Screening and Lab Automation, (no applications).
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.