26 marketing English-speaking jobs in Heidelberg

Collaborate with engineering and marketing leadership to define and execute the short- and long-term ... 2 to 6 years of experience in systems engineering, applications engineering, or technical product marketing

takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing

takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing

Aufgaben Position Summary: The Therapeutic Area Specialist (m/f/d) implements the marketing strategy ... for continuous sales and communication trainings and ability to apply sales techniques accordingly Marketing

Development ·      HR Management ·      English Language and Composition Writing ·      International Marketing

The PC will collaborate with academic leaders, admissions and recruitment teams, marketing, finance,

This role builds the bridge between business and IT, translating strategy into deliverable architecture. The Enterprise Architect advises leaders, shapes EA services, and drives AI/data opportunities. Requires 5+ years in IT architecture.

PhD positions available to develop AI agents for medical image analysis at DKFZ. Focus areas include multimodal agents, longitudinal imaging, and reinforcement learning. Requires a Master's in a relevant field and strong ML/Python skills.

Researcher in Public Health Modelling and Health Economics. Implement and adapt individual-based simulation models for tuberculosis interventions. Conduct health-economic evaluations and contribute to evidence synthesis. Requires a Master's in a quantitative discipline and experience with R.

PhD positions are available to develop Agentic AI for Medical Image Analysis at DKFZ. Candidates will investigate AI agents combining medical images with clinical data, using methods like reinforcement learning. A Master's in a relevant field and strong Python/ML skills are required.

PhD Student to develop and optimize human lymphoid organ culture models to investigate HIV-1 pathogenesis and adaptive immune responses using tissue engineering and microfluidics. Focus includes studying viral persistence and Nef's impact on host immunity.

PhD position in RNA Biology focusing on RNA-protein interactions, protein purification, mRNA synthesis, and lipid nanoparticle characterization. Requires a Master's in cell biology or biochemistry.

Principal Scientist in Genomic Technologies, Human Genetics and Genomics. This role analyzes large-scale human genetic data to guide drug discovery and development. Requires advanced degree and expertise in R or Python.

Lead a team developing scalable pipelines for complex single-cell and spatial omics data. Set scientific direction, apply advanced methods for diverse omics, and deploy agentic AI workflows to inform drug discovery.

Provide remote and on-field support for pre- and post-sales activities, installing, maintaining, and repairing Bio-techne Spatial instrumentation. Requires 3+ years in field service engineering with strong problem-solving skills.

Hands-on Data Engineer to integrate global health data into the PaiX ecosystem. Responsibilities include building robust pipelines, mapping data, and ensuring GDPR compliance. Requires Python, SQL, and familiarity with HL7 FHIR.

Supports SCSE and F&F teams by coordinating consumer and sensory research, fragrance lab operations, and project administration. Requires a science degree and strong organizational skills.

Postdoctoral Researcher to analyze quantitative proteomics and multi-omics data to identify molecular mechanisms in extracellular vesicle biology related to oncology. This role involves experimental validation using cancer models and driving interdisciplinary research.

Wella seeks a Chemistry/Natural/Material Science student for a 12-month Working Student R&D role. Responsibilities include performing experiments, using lab equipment, and recording data in the Innovation-Formulation R&D team. Fluent English is required.

Develop and adapt foundation and multimodal AI models integrating various biomedical data. Establish training and inference pipelines. Co-supervise students and contribute to grant applications. Requires PhD or MD/PhD with ML experience in biomedical imaging/omics.