Head of Bioinformatics (m/f/d)

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

Head of Bioinformatics (mf/d)

Your responsibilities:

Leadership & Team Management

• Provide scientific and organizational leadership for a multidisciplinary bioinformatics team of 7, fostering a culture of excellence, collaboration, and innovation.
• Oversee team development, mentoring, and performance to ensure strong technical growth and high‑quality output.

Scientific Strategy & Innovation in Oncology

• Guide the functional bioinformatics strategy across research and translational programs, ensuring alignment with broader R&D goals.
• Serve as a key scientific partner to research, translational, and clinical project teams by contributing computational insights to study plans and decision‑making.

Development of Analytical Pipelines & Computational Workflows

• Lead the design, implementation, and continuous improvement of bioinformatics pipelines supporting high‑throughput sequencing, multi‑omics integration, biomarker discovery, and translational analyses.
• Ensure workflows are scalable, reproducible, and optimized for performance, including cloud‑based environments where appropriate.

Data Standards, Quality, and Compliance

• Establish and maintain robust standards for data quality, analysis integrity, documentation, and reproducibility across all bioinformatics activities.
• Ensure bioinformatics processes adhere to internal policies and relevant regulatory frameworks for research‑grade and translational analyses.

Advanced Data Analysis & Method Innovation

• Apply statistical, machine learning, and AI‑driven approaches to generate actionable biological insights and support program hypotheses.
• Introduce innovative analytical methods and evaluate emerging technologies with clear potential to enhance scientific output.

Cross‑Functional Collaboration and external Partnerships

• Partner closely with LIMS, IT, Data Science, Translational Medicine, and Laboratory teams to ensure seamless integration of computational workflows into research and clinical pipelines
• Support collaborations with academic partners, clinical networks, and industry collaborators to advance scientific innovation in oncology and adjacent fields.

Scientific Communication

• Communicate complex analytical results and scientific interpretations clearly to diverse audiences, including non‑experts, internal project teams, and external collaborators.

Our requirements:

• 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 software and platforms.
• Strong knowledge of statistical and machine learning methods and their application to biological data.
• Sound understanding of regulatory compliance and clinical bioinformatics validation processes
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
• Strong communication skills, with the ability to present complex data and concepts to a diverse audience.
• A passion for scientific discovery and a commitment to advancing oncology drug development.

Your benefits

• Demanding area of responsibility in a fast-growing company
• Grant for the HVV ProfiTicket/Deutschlandticket
• Subsidy for sports membership and events
• Company pension scheme
• Company doctor
• Fresh fruits, vegetables and drinks
• Christmas and summer party
• Flexible working hours
• German and English courses
• 30 days holiday
• The 24th and 31st of December are holidays and won´t be deducted from your annual holidays.

Would You Like to Contribute to the Success of Our Company?

Please apply online and include your salary expectations and current notice period.