Overview The PositionThe text includes information about Boehringer Ingelheim's Computational Innovation group. We are seeking a scientifically driven Associate Director to lead a Computational Biology team focused on Cardio-Renal-Metabolic (CRM) diseases, especially Liver diseases, and to drive computational innovation in drug discovery. In this role, you will collaborate closely with scientists in the CRM therapeutic area to identify and validate novel drug targets, and accelerate discovery using advanced data science and computational biology approaches. You will champion the integration of multi-omics, human genetics, imaging, and clinical data with cutting-edge computational approaches as a foundation and drive innovation by leveraging both internal and external collaborations and capabilities. As a key member of our growing Computational Innovation Department, you will shape the strategic direction of computational biology within Inflammatory and Respiratory diseases, contributing to the discovery and development of transformative therapies that improve patients’ lives. This position has a hybrid setup with minimum 2-3 days per week on site. Responsibilities In your new role, you will lead and manage a team of computational biologists. Therefore, you will foster a culture of collaboration, innovation, and scientific excellence You will act as the primary contact to the global Liver Health team in the CRM therapeutic area, ensuring alignment across the therapeutic area portfolio You will also provide strategic guidance, mentorship, and development opportunities to the team members to ensuring their growth and the team’s overall success Furthermore, you will spearhead cutting-edge computational biology methods for target and/or biomarker discovery, with focus on Cardio-Renal-Metabolic diseases In addition, you will establish and maintain standards for data analysis, ensure the quality, integrity and reproducibility of computational results For stakeholders, you will translate computational concepts and results into actionable insights to facilitate data-driven decision-making Requirements Ph.D. in Computational Biology, Bioinformatics, Mathematics, Statistics or related field, with long-term experience in computational sciences applied to drug discovery Strong leadership experience in line management, including ability to plan, allocate and manage resources efficiently Proven track record of scientific and pharmaceutical accomplishments; preferably in CRM indications Demonstrated expertise in computationally driven target identification Excellent communication skills, with the ability to convey complex computational concepts to diverse audiences Strong interpersonal skills for fostering collaboration across multidisciplinary teams and experience in mentoring junior scientist and foster a culture of innovation Contact Ready to contact us? If you have any questions about the job posting or process, please contact our HR Direct Team at Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com Recruitment process Online application - The job posting is presumably online until February 28, 2026 Virtual meeting in the period from mid February till early March On-site interviews starting mid-March Please submit your application documents in English. Discover our Biberach site: xplorebiberach.com Company Why Boehringer Ingelheim? With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better. Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed. Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you\'ll be helping to transform lives for generations. Want to learn more? Visit Website #J-18808-Ljbffr