Postdoctoral Researcher or Senior Scientist; AI × Biology

Offer Description

The Boeva Lab at ETH Zurich is looking for exceptional, ambitious, and highly motivated postdoctoral researchers or senior scientists to join our team at the forefront of machine learning, AI, and cancer genomics.

Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide.

Learn more about our research and recent work on our websites:
Lab website and Publications .

This position is ideal for researchers who want to push scientific boundaries, build a visible and independent research profile, and work on problems that matter at the interface of AI and biology. You will have the freedom, resources, and intellectual environment to turn bold ideas into impactful science.

We are looking for people with drive, creativity, and leadership potential. If this sounds like you, we would be excited to hear from you.

Depending on seniority, you will have significant scientific independence and leadership responsibilities:

• Lead and shape an independent research project at the intersection of ML/AI and biology
• Develop novel research ideas with high scientific and translational impact
• Publish in top-tier journals and conferences
• Secure external funding (with strong institutional support)
• Co-supervise Master’s students and PhD candidates
• For Senior Scientists: lead and mentor a small internal team of researchers
• Contribute to a collaborative, team-oriented research culture
• Participate in teaching activities, including the design of new teaching materials in AI, machine learning, and genomics

Profile

Please only apply if you meet the following criteria:

• Excellent English, both written and spoken
• A strong publication record with at least 3 papers in
• Journals with Impact Factor > 10, or
• Proven ability to conduct independent, high-quality research
• Proven ability to write well-documented code in Python
• Strong motivation to work in a collaborative team environment and to supervise others

Experience in grant writing is a strong plus.

We offer

• A highly interdisciplinary and international environment at ETH Zurich, consistently ranked among the top universities worldwide (#7 QS World University Rankings)
• Cutting-edge research at the interface of machine learning, AI, and biology
• Strong collaborations with experimental and clinical research groups
• Access to the world-class ML/AI ecosystem of ETH’s Computer Science Department
• Scientific independence, visibility, and clear opportunities for career advancement
• Support for grant writing, networking, and leadership development
• Competitive salary and benefits according to ETH Zurich standards
• Zurich’s exceptional quality of life and central position in the European research landscape
• The contract can be switched to a permanent senior scientist position after 2 years

Working, teaching and research at ETH Zurich We value diversity and sustainability

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.

Sustainability is a core value for us – we are consistently working towards a climate-neutral future .Curious? So are we.

We look forward to receiving your online application with the following documents:

• CV, including a complete list of publications and a link to your PhD thesis
• BSc and MSc transcripts
• A motivation letter including a list of 3 references willing to provide a recommendation letter

Further information about the Computational Cancer Genomics Group can be found on our website . Questions regarding the position should be directed to Valentina Boeva, valentina.boevaz.ch (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

About ETH Zürich 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.