Tenure-track Faculty positions in Data Science: Biotechnology 2025-2026

Job Title: Assistant Professor in Data Science
Location: IE University (Madrid, Segovia)
Department: School of Science and Technology
Start Date: 1 September 2025

Position Overview:

IE University’s School of Science and Technology is seeking an exceptional candidate for a full-time faculty position in Data Science with a specialization in Bioinformatics, Computational Biology, and Machine Learning applied to biological data. We look for candidates who can integrate advanced computational techniques with biotechnology to address challenges in areas like genomics, proteomics, transcriptomics, personalized medicine, and systems biology. The ideal candidate will have expertise in data-driven approaches to biological research, including machine learning and AI applications in bioinformatics, the analysis of DNA/RNA sequences, and the study of large-scale biological datasets. This position is perfect for a data scientist passionate about advancing biotechnology through computational methods and collaboration with interdisciplinary teams.

We value candidates with the capacity to collaborate in applied research projects led by the Impact Xcelerator at IE School of Science and Technology, specifically in one of the three focus areas: Climate/Energy, Healthcare, or Financial Systems. The ability to contribute to multidisciplinary research initiatives that apply cutting-edge technologies to real-world challenges in these sectors will be key to the role’s success, providing opportunities to work closely with industry partners and stakeholders to drive innovative solutions.

Key Responsibilities:

• Develop and teach courses at the undergraduate and graduate levels in topics such as Bioinformatics, Computational Biology, Data Science, AI in Biomedicine, and Machine Learning for Biological Systems.
• Lead high-impact research projects in areas such as genomic analysis, systems biology, computational proteomics, and drug discovery using machine learning and AI, while actively securing competitive research funds. 
• Collaborate with other faculty members and industry partners to develop innovative solutions for real-world problems in biotechnology, healthcare, and personalized medicine, in connection with the IX Health and Biotech Lab.
• Supervise and mentor undergraduate, graduate, and Ph.D. students, guiding them in research involving biological datasets and computational modeling.
• Design innovative curricula that focus on experiential learning and the integration of biological sciences with advanced computational tools.
• Engage in academic service and play a role in the strategic development of the School of Science and Technology.

Required Qualifications:

• A Ph.D. in Bioinformatics, Computational Biology, Biotechnology, Computer Science, Genomics, or a closely related field.
• Demonstrated research excellence in bioinformatics, computational genomics, systems biology, or AI/machine learning applications in biological research.
• A strong publication record in top-tier journals and conferences in bioinformatics, computational biology, or biotechnology.
• Experience in designing and delivering innovative, high-quality courses at the undergraduate and graduate levels.
• Proficiency in using programming languages (e.g., Python, R) and bioinformatics tools for genomic data analysis, sequence alignment, gene expression analysis, and biological network modeling.
• Ability to work collaboratively across disciplines, particularly in the integration of computational tools with biological and clinical research.

We offer:

• A competitive salary in line with top-ranked European academic institutions.
• A generous seed research fund to cover travel, equipment and relocation costs.
• State-of-the-art campus facilities and support to build your lab infrastructure.
• A professional and stimulating international working environment with English as the de facto language.
• Full access to public health services through membership of the National Insurance Scheme plus a discount plan to acquire an additional private health insurance plan.
• Diversity in an open-minded, inclusive and family-friendly environment.
• Inspiring campus life on a conveniently located, state-of-the-art unique campus in the hearts of Madrid and Segovia.

Application Instructions

Please include a cover letter and a curriculum vitae, a research statement, a statement of teaching philosophy and one confidential recommendation letter. You may include teaching evaluations and sample course syllabi in your dossier. 
Pre-submission inquiries about the open positions may be addressed to Prof. Dae-Jin Lee (Dae-Jin.Lee@ie.edu). For general enquiries, contact Sara Flores sara.flores@ie.edu Associate Director of Faculty Affairs.

Create your dossier at Interfolio and apply at: 

We will start screening after December 15.  Applications received until this date will be considered for the first round of interviews. The position will remain open until it is filled.

About IE University and the School of Science and Technology

IE University is an internationally recognized institution originally founded as a business school. We consider ourselves the most international institution of higher education with approximately 85% of our students coming from outside Spain and typically over 120 countries represented on campus. Our Madrid postgraduate campus is situated in the financial district of this vibrant, cosmopolitan capital city of over 5 million people. In 2021 we opened the IE Tower, standing as one of the 5 towers in the business district of Madrid with a 6000-student capacity.

The School of Science and Technology prepares students with industry relevant skills in the context of STEM and related educational programs. The school offers undergraduate and graduate degrees in Computer Science, Artificial Intelligence, Applied Mathematics and Data analytics. For further information on the current faculty and lines of research, please visit IE Research Datalab (https://www.ie.edu/ieresearchdatalab/). 
The IE Impact Xcelerator offers new faculty the opportunity to participate in applied research labs in collaboration with research groups and companies in fields like healthcare, environmental science, finance, and cybersecurity, profiting from the rich network of the IE Business School.