Postdoctoral Researcher or Senior Scientist

Postdoctoral Researcher or Senior Scientist (AI × Biology)100%, Zurich, fixed-termThe 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.Project backgroundThis 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.Job descriptionDepending 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 biologyDevelop novel research ideas with high scientific and translational impactPublish in top-tier journals and conferencesSecure external funding (with strong institutional support)Co-supervise Master's students and PhD candidatesFor Senior Scientists: lead and mentor a small internal team of researchersContribute to a collaborative, team-oriented research cultureParticipate in teaching activities, including the design of new teaching materials in AI, machine learning, and genomicsProfilePlease only apply if you meet the following criteria:Excellent English, both written and spokenA strong publication record with at least 3 papers inJournals with Impact Factor > 10, orTop-tier ML conferences (NeurIPS, ICML, ICLR)Proven ability to conduct independent, high-quality researchProven ability to write well-documented code in PythonStrong motivation to work in a collaborative team environment and to supervise othersExperience in grant writing is a strong plus.WorkplaceWorkplaceWe offerA 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 biologyStrong collaborations with experimental and clinical research groupsAccess to the world-class ML/AI ecosystem of ETH's Computer Science DepartmentScientific independence, visibility, and clear opportunities for career advancementSupport for grant writing, networking, and leadership developmentCompetitive salary and benefits according to ETH Zurich standardsZurich's exceptional quality of life and central position in the European research landscapeThe contract can be switched to a permanent senior scientist position after 2 yearsWe value diversity and sustainabilityIn 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 thesisBSc and MSc transcriptsA motivation letter including a list of 3 references willing to provide a recommendation letterFurther information about the Computational Cancer Genomics Group can be found on our website. Questions regarding the position should be directed to Valentina Boeva, (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.