Postdoctoral Researcher at the Spatial Biotechnology Research Group

Position Overview The Spatial Biotechnology Group is seeking a motivated and skilled Postdoctoral Researcher with expertise in computational biology and data science to join our team. This position offers a unique opportunity to contribute to cutting‑edge research dissecting how cancer cells interact with their microenvironment in response to therapeutic intervention. Our research team develops and applies novel high‑throughput and spatial perturbation technologies to understand how cellular clones spatially organize within solid tumors. The successful candidate will play a key role in leading the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists.Responsibilities Develop and implement robust computational pipelines for the processing and analysis of multimodal spatial biology datasets.Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing.Statistically analyze and interpret multi‑omic data to identify spatial patterns, cellular neighborhoods, and gene programs associated with drug resistance.Develop predictive models to infer tumor evolution and treatment response based on spatial data.Integrate diverse data types to build comprehensive models of the tumor microenvironment.Present computational findings at internal meetings and international conferences.Contribute to manuscript preparation.Collaborate closely with experimental biologists to guide experimental design and interpret results.Qualifications Essential A PhD in a relevant field such as computational biology, bioinformatics, computer science, or a related discipline.Programming proficiency in Python and/or R.Demonstrated experience in analyzing large‑scale biological datasets (e.g., next‑generation sequencing, proteomics, imaging data).A solid understanding of statistics and data analysis methods.Ability to work independently and take initiative and solve complex computational problems.Willingness to work in a highly multidisciplinary environment.Competencies and skills needed: communication, teamwork, proactivity, commitment, integrity, time management, critical and analytical thinking, precision, and focus.Full professional proficiency in English (written and spoken).Advantageous Prior experience with spatial proteomics, metabolomics, and/or transcriptomics data analysis.Experience in quantitative image analysis, computer vision, or digital pathology.A strong background in cancer biology or immunology.Experience with machine learning, deep learning frameworks, and predictive modeling.Familiarity with high‑performance computing environments.Offer Number of available positions: 1Starting date: December 2025Working conditions: Full time 1.5‑year contractSalary according to qualifications and experience following IBEC pay scales.Measures to reconcile work and family life (parental leave, flexible schedule working hours, 23 working days of paid holidays, 9 leave days for personal matters, among others).How to Apply Until October 23rd, 2025, an online application form is available through IBEC dedicated site: Reference: PD_XR. If you have any further questions regarding your application, please contact us at Equal Opportunity & Diversity IBEC is an equal‑opportunity employer committed to diversity and inclusion, supporting employees irrespective of gender, nationality, religion, disabilities, age, sexual identity or cultural and socioeconomic background. IBEC actively looks for female candidates for senior positions, aiming for at least 40% of shortlisted applicants invited to interview to be women with comparable level of CVs as the male candidates. In case of equal merit, priority will be given to female candidates.Contact Email: #J-18808-Ljbffr