41 English-speaking jobs in Heidelberg

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

Deliver groceries to customers efficiently by e-bike or e-scooter. Meet and exceed delivery targets while providing exceptional customer service. Earn at least €13.90 per hour plus tips.

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

The Application Engineering Chapter Leader drives application expertise for ABB Electrification Smart Power's Critical Power business. This role establishes best practices, standards, and domain know-how to translate customer requirements into optimized solutions. The Chapter Leader fosters a high-performing team, develops standards and tools for efficient solution design, and collaborates with stakeholders to support business growth.

Site Finance Manager responsible for implementing and adhering to corporate finance policies at the AMB site in Waghäusel. Ensures accurate financial reporting, establishes internal controls, and leads finance integration workstreams. Acts as a main interface to international finance teams.

Senior Machine Learning Expert to design, build, and optimize large-scale machine learning systems for identity verification products. Collaborate with ML scientists, engineers, and product stakeholders to productionize AI models. Develop scalable Python-based backend services and microservices architectures.

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.

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

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.

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.

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.

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.

The German Cancer Research Center (DKFZ) seeks a Machine Learning Engineer to develop AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models for scientific imaging. Responsibilities include designing agentic workflows, integrating computer vision frameworks, and collaborating with researchers to develop tailored solutions.

Leads Engineering Testing & Laboratory team for Device & Combination Product Development. Plans, coordinates, and executes Engineering Confidence- and Design Verification Testing for Parenteralia / Pharmaceutical Application Systems. Represents ETAG as single point of contact for assigned projects. Establishes and applies phase-appropriate development & testing concepts. Drives test method development incorporating relevant standards and validation. Leads Non-conformity Investigations / Issue Resolutions. Provides general framework and documentation according to GMP and Design Control standards. Supports regulatory submission reports and provides relevant data. Defines and establishes Design Verification Processes. Member in global Design and Development Teams and participation in Design Reviews. Demonstrates creative problem-solving skills and champions new technologies.

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.