Director Bioinformatics; m​/f​/d

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Indivumed is a biotech company focusing on precision oncology. For almost 25 years, we have been driven by a single, overarching vision: a world in which precision therapy offers a cure for every cancer patient.

Specialized in early drug discovery, our R&D approach is based on the belief that we need to fundamentally understand the disease to gain novel insights and develop effective therapeutics. To do so, we start with carefully collected and curated patient samples, resulting in a comprehensive and proprietary database. By employing advanced biomathematical and bioinformatic methods on this excellent data, we discover therapeutically novel targets.

From our high-quality tissue, we generate patient-derived 2D and 3D cellular models allowing us to perform target validation and therapeutic development in an environment that is as close to the patient as possible.

Drive, dedication, and our shared purpose make us who we are.

Driven by our pioneering spirit and our shared purpose, we explore the complexity of cancer with curiosity and determination. Thriving on innovation, we value unique perspectives and visionary scientific approaches to grow together. Whether as a scientist, as a data analyst, or in a corporate function – everyone contributes to our common goal.

If you thrive on discovery, come join our team and make your impact! We are looking for a

Director Bioinformatics (mf/d)

As Director of Bioinformatics you will become the driving force behind our Data Analytics team. In this pivotal position, you will chart the strategic course and spearhead the development and implementation of cutting‑edge computational methods that propel our oncology drug discovery and development initiatives.

• Develop and demonstrate leadership – long‑term and day‑to‑day – for our team of 10 highly skilled computational biologists, biomathematics, physicists, and medicinal chemists, fostering a culture of scientific excellence, collaboration, and innovation.
• Creatively identify, shape and drive initiatives towards exploring internal and external large‑scale omics data within the oncology domain towards identifying novel scientific insights (disease understanding, targets, biomarkers, etc.).
• Lead the design, development, and optimization of bioinformatics pipelines and oversee the development of high‑throughput bioinformatics workflows.
• Establish and maintain excellent standards for data analysis, integrity, and reproducibility across all projects, and ensure bioinformatics platforms adhere to applicable regulatory standards and industry best practices in software validation and data security.
• Develop and apply advanced statistical and AI methods to model biological systems and predict therapeutic outcomes.
• Work with LIMS, IT, and clinical data science teams to integrate bioinformatics workflows into clinical and research pipelines.
• Support key partnerships with networking clinics, academic institutions, and pharmaceutical collaborators to drive bioinformatics innovation in oncology.
• Stay abreast of the latest developments in bioinformatics, biomathematics, and related fields, and apply innovative approaches to enhance our R&D capabilities.
• Communicate complex computational findings to a diverse audience, including non‑experts, through presentations, reports, and publications.
• Contribute to the strategic planning and execution of the company's R&D goals and objectives.

• Ph.D. in Bioinformatics, Computational Biology, Mathematics, or a related field and relevant experience in the field of oncology.
• 5+ years of leadership experience in oncology bioinformatics / computational biology preferably in the industry.
• Demonstrated expertise in using computational approaches to support target identification and/or biomarker discovery.
• Expertise in the analysis of large‑scale omics data and the application of bioinformatics tools and databases.
• Strong background in machine learning, algorithm development, and computational biology applied to multi‑omics data.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics…