South Germany - Hybrid working 2/3 days on site per week
KEMIO are supporting a pharmaceutical organisation seeking a Principal Scientist to advance its research into cardio-renal-metabolic diseases. You’ll translate complex human biological and clinical data into insights that inform target discovery, biomarker strategies, patient stratification and early drug development. Working alongside computational scientists, disease specialists and translational research teams, you’ll combine hands-on analytical expertise with scientific leadership to guide research decisions. The role:
Design and apply computational approaches to analyse and integrate multi-omics, spatial transcriptomics, imaging, clinical and real-world data.
Lead and contribute to projects spanning disease understanding, target identification and validation, biomarker discovery and patient stratification.
Develop therapeutic hypotheses grounded in human biology.
Lead computational workstreams, defining analytical strategies, prioritising data sources and translating results into clear recommendations.
Collaborate with therapeutic area, experimental medicine and wider research teams to ensure computational findings inform project decisions.
Communicate analytical approaches, results and recommendations to multidisciplinary teams and senior stakeholders.
Develop innovative methods, analytical frameworks and reusable workflows that strengthen data-driven drug discovery.
Requirements:
A PhD in computational biology, bioinformatics, systems biology or a related discipline, followed by several years of professional experience.
Experience applying computational biology to drug discovery or translational research, within pharmaceuticals or biotechnology.
Strong expertise in analysing complex biological datasets, with experience in areas such as multi-omics integration, spatial transcriptomics, biomarker discovery, patient stratification, disease biology, target identification.
Proficiency in R or Python, alongside practical experience with reproducible research, version control, scalable analytical pipelines and FAIR data principles.
The ability to combine scientific depth with strategic thinking and guide collaborative research projects.
Excellent communication, presentation and stakeholder management skills, with fluency in written and spoken English.
Knowledge of cardio-renal-metabolic diseases is not a must have but would be an advantage.
This role offers the chance to influence research from disease understanding through to early development, helping turn complex data into meaningful therapeutic insights. You’ll contribute both scientific direction and hands-on expertise within a multidisciplinary research environment. Interested? Apply or get in touch for a confidential conversation.
... your life’s best work and enjoy the journey. - Get to show that big things are possible in Europe when you assemble the best talent. YOUR IMPACT As a Senior Computational Physicist - Stellarator Optimization, you will design the magnetic fields and coils at the core of our stellarators. You will balance plasma performance ...
... modelers, data engineers, and research directors. Requirements & Qualifications - Degree in Computational Design, Computer Science, Applied Mathematics, Computational Engineering, or Architecture with an intensive programming focus. - Strong proficiency in Python, C#, or TypeScript; familiarity with computational geometry ...
... workflows. What we need to see: - PhD or equivalent experience in computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or a related field. - 5+ years of experience. - Background in computational geometry, geometry processing, mesh generation, adaptive ...
The Department of “Computational Biology for Infection Research”, led by Prof. Alice Carolyn McHardy, at the Helmholtz Centre for Infection Research (HZI), invites applications for a Postdoctoral Position in Computational Metagenomics (f/m/d) As a member of the Helmholtz Association, the Helmholtz Centre for Infection Research, ...
... wissensbasierte Ansätze voran, um innovative Merkmale für eine nachhaltige Landwirtschaft zu entwickeln. Im Rahmen unserer Trait-Discovery-Aktivitäten spielen Computational Structural Biology und modernes Proteinmodelling eine wichtige Rolle bei der Identifizierung und Priorisierung vielversprechender Kandidatengene . Gemeinsam ...