2266 English-speaking jobs in Bavaria

Senior Data Scientist with expertise in clinical statistics will analyze project data, develop statistical programs, and support clinical development in all phases. Requires a Master's degree in statistics, mathematics, or a related field and experience with statistical analysis tools (SAS, R).

As a Principal within Analytics & Consulting, you will lead client engagements, develop new business opportunities, and provide strategic guidance to clients in the Pharma and Life Sciences industries. You will oversee project delivery, mentor team members, and contribute to thought leadership initiatives.

Leads international commercial, digital, tech, and data due diligence for buy- and sell-side transactions. Manages analyses of (digital) business models for private equity clients and develops equity stories and value creation initiatives. Identifies client needs, structures problems, and develops solutions. Analyzes the strategic impact of AI on business models. Leads project teams, coordinates with external parties, and supervises team development.

Leads the Transaction Advisory / Strategy Team, responsible for customer acquisition, team staffing, project execution, and profitability. Manages international Commercial / Digital / Tech / Data Due Diligence projects, drives internal know-how development, and establishes partnerships with private equity funds.

The Medical Science Liaison (MSL) is a field-based scientific expert who supports the medical and scientific objectives of Alexion's products. The MSL develops and maintains relationships with key medical experts, identifies and executes collaboration opportunities, and communicates expert opinions and feedback to Alexion Medical Affairs.

Leads and enhances EMEA trade compliance program, ensuring adherence to EU regulations governing military and strategic goods. Oversees licensing processes, collaborates with regulatory bodies, and develops internal compliance programs. Requires 10-15 years of experience in trade compliance, with a focus on European military and strategic goods regulations.

Lead engineer for Automotive Electrification Systems, defining long-term strategy and technology roadmaps for vehicle electrification. Guide a team developing innovative solutions for charging, battery management, and electric drivetrain systems.

Senior Principal Ethernet System Architect to drive customer engagement and define next generation automotive connectivity architectures using Ethernet. Lead product definition, collaborate with cross-functional teams, and contribute to Analog Devices' broader connectivity strategy.

This role focuses on product adoption, enablement, and engagement for Klar's Data Operating System. The Product Adoption & Experience Manager designs and executes user-facing enablement content and mechanics to help eCommerce teams maximize Klar's value. Responsibilities include building and maintaining Klar's education ecosystem, creating scalable enablement materials, and supporting product discovery and enablement prototyping.

Lead and oversee Engine and Gameplay Programming Teams. Define technical vision, collaborate with cross-disciplinary teams, and manage programming staff. Ensure coding standards, workflows, and technical coherence across projects.

Leads the Customer Analytics team, managing data scientists, business analysts, and campaign managers. Develops customer insights, analytics, and growth strategies. Manages the Customer Analytics Roadmap and collaborates with cross-functional teams. Requires 7+ years of experience in Customer Analytics, Data Science, or related fields.

Develop state-of-the-art software for high-tech products and machines. Collaborate with project managers and customers to define project scope, estimate timelines, and mitigate risks. Lead the architectural design and development of software systems, ensuring performance, quality, and reliability. Provide technical guidance to project teams and development processes.

The Junior OKR & Business Analyst supports the TMO in driving strategic alignment and performance through the OKR framework. This role combines analytical skills with business understanding to help teams define, track, and achieve their objectives.

Software Developer will design, develop, and deliver new features for products. Responsibilities include coding, testing, and maintaining software and databases, collaborating with other developers, and contributing to back-end development. Requires a degree in computer science, engineering, or related field, and/or relevant experience. Strong knowledge of .NET framework, C#, ASP.NET, and SQL Server is essential. Excellent communication and problem-solving skills are also required. Fluency in English is mandatory.

Investment Manager / Principal to lead software investments in Infra, DevTools, AI infra, and other areas. Full ownership of deals from sourcing to post-investment work. Deep software engineering expertise required, with experience building and scaling systems.

Security Engineer will implement and oversee security controls across SDLC and infrastructure layers. Responsibilities include testing and evaluating security tools, advising development teams, and ensuring alignment with regulatory frameworks.

Entry-level position for Master of Economics graduates with limited work experience. Associates work on competition cases, conducting analyses, building economic models, and communicating findings to clients. Requires fluency in English, strong numeracy, and econometric skills.

Design and implement robotics software integrating ML models into perception, decision-making, and action pipelines. Ensure system reliability, handle latency and safety constraints, and debug real-world issues.

Site Reliability Engineer (m/f/d) will improve the reliability and observability of microservices architecture. Responsibilities include monitoring service availability, troubleshooting incidents, and mentoring cross-functional teams on scalable software development. Requires cloud expertise (ideally GCP), microservices, container orchestration, strong programming skills (Go or Java), Linux system knowledge, and computer networking understanding.

Develop machine-learning models and LLM-based components for personalized training plans. Analyze data, design and evaluate LLM features, and collaborate with software engineering and product management.