30 English-speaking jobs in Heidelberg

Develop study protocols and lead data analysis and interpretation for assigned research questions within the TB screening portfolio; author manuscripts for peer-reviewed publication Contribute to prospective data collection activities, including review of study progress against milestones and identification of risks to scope or timelines Completion of mandatory PhD coursework Contribute to funding

Doctoral Researchers in Data Science and Health are sought for a fully funded program at the Karlsruhe Institute of Technology, German Cancer Research Center, and University Heidelberg. Projects focus on areas like imaging, robotics, personalized medicine, and public health. Applicants must have a master's degree in a relevant field by October.

Senior Associate in Consumer & Sensory Science will lead qualitative, quantitative, and sensory research to support product development and innovation within the Automatic Dishwashing portfolio. Responsibilities include designing and delivering research studies, synthesizing data into actionable insights, and advising stakeholders on research approaches.

Seeking doctoral researchers with a master's degree (received by October 2026) in computer science, mathematics, engineering, physics, or related quantitative sciences. Projects focus on data science in health, including imaging & diagnostics, robotic surgery, personalized medicine, and public health.

Support a growing AI infrastructure startup by maintaining a clean, organized office environment. Tasks include cleaning, restocking supplies, and assisting with general organizational tasks.

PhD position in translational cancer research focusing on organoid generation, drug screening, CRISPR-based functional genomics, and bioinformatic analysis.

Develop and lead formulation strategies for protein therapeutics from early development through clinical stages. Lead formulation development programs, ensuring cross-functional alignment and data-driven decisions. Support scale-up and technology transfer to clinical manufacturing.

Lead a team of MSAT specialists, driving technology transfer and process introduction for client projects. Oversee process validation activities, champion continuous process improvement, and serve as a technical point of contact for clients.

Establish computational pipelines for single-cell multi-omics data analysis and integration to reconstruct gene regulatory networks in 3D forebrain organoids. Design a web platform for visualization and usage of multi-omics datasets. Integrate data with in-house and public datasets for biological interpretation.

Scientist will conduct in vivo animal experiments for neuroradiological studies, focusing on MRI-guided diagnostic procedures in neuro-oncology. Requires a master's degree in a relevant field, expertise in laboratory animal science, and experience with mice and rats in research.

Adjunct Instructor to teach data science and computer science courses, lead an Immersive Technology Lab, and promote experiential learning.

Develop innovative concepts and recipes for semi-finished and finished products in the Sweet Goods & Dairy sector. Manage customer projects from concept to launch, acting as a technical point of contact.

Develop and lead formulation strategies for protein drug candidates from early development through clinical stages. Lead formulation development programs, ensuring cross-functional alignment and data-driven decisions. Support scale-up and technology transfer to clinical manufacturing. Contribute to CMC activities, including authoring and reviewing regulatory documentation.

Leads a team of translational genetics scientists, providing strategic leadership and analytical expertise to identify and deliver data-driven work. Focuses on understanding and addressing translational questions relevant to the GSK portfolio, leveraging expertise in association genetics and the integration of genetics with genomics and clinical phenotypic data. Collaborates with GSK scientists and external institutions to advance drug discovery and clinical development.

PhD Student in Cancer Breaksome will map and classify DNA double-strand breaks in cancer cells. The project integrates multi-omics datasets to identify cancer-type-specific vulnerabilities and develop reverse-translational strategies for therapeutic interventions.

Develop and evaluate AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models. Design agentic workflows that automate complex image analysis tasks. Collaborate with researchers to identify use cases and develop tailored solutions.

Develop and evaluate AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models. Design agentic workflows that automate complex image analysis tasks. Collaborate with researchers to identify use cases and develop tailored solutions.

Develop and evaluate AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models. Design agentic workflows that automate complex image analysis tasks. Collaborate with researchers to identify use cases and develop tailored solutions.

Develop and evaluate AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models. Design agentic workflows that automate complex image analysis tasks. Collaborate with researchers to identify use cases and develop tailored solutions.

PhD Student in Cancer Breaksome at the German Cancer Research Center (DKFZ) will investigate how genome instability contributes to tumor initiation, therapy resistance, and disease progression. The project will map and classify DNA double-strand breaks in cancer cells and integrate multi-omics datasets to identify cancer-type-specific vulnerabilities.