Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

• Complete data engineering tasks for the development of scientific algorithms.
• Research and develop both stochastic and deterministic solutions for optical and mass spectrometric instrumentation.
• Prototype and implement machine learning (ML) and artificial intelligence (AI) models.
• Differentiate and define the requirements for proof-of-concept (POC) versus production-ready solutions.
• Collaborate closely with R&D scientists and domain experts during experimental and data collection phases.
• Collaborate with software architects and engineers to support the integration of research software into products, aiding the transition process.
• Engage with other ML/AI teams across the company to share knowledge and strategies.
• Process and prepare scientific findings for publication in symposia or conferences.
• Work closely with the Intellectual Property (IP) partners, actively contributing to the generation of new inventions and supporting freedom-to-operate searches and infringement assessments.

• Strong foundation in image/sensor readback processing.
• Profound software development experience, with at least 2+ years in a production environment.
• Some years of algorithm development in an R&D environment.
• Knowledge of electronic engineering, particularly in sensors and telemetry, SW and HW integration, is a plus.
• Curiosity for AI and ML technologies and passion for driving R&D innovation.
• Proficiency in Python and at least one additional programming language (e.g. C++).
• Experience working with Windows, Linux, and various programming environments.
• Proficiency in using Git for version control.
• Experience with Docker, GPU servers, and ONNX Runtime.
• Understanding of multi-threaded and multi-processor software architectures.
• Knowledge of design patterns and object-oriented programming.
• Familiarity with AI techniques and algorithms, including deep learning, CNNs, RNNs, decision trees, clustering, ensembles, etc., and/or a strong willingness to learn.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Knowledge of the AWS technology stack.
• Dedication to continuous learning and staying ahead of AI/ML advancements.
• Strong interpersonal skills, with the ability to effectively present scientific results and collaborate within a team of scientists.

• Employment with an innovative, future-oriented organization
• Outstanding career and development prospects
• Excellent Work-Life-Balance
• Company pension scheme and other fringe benefits
• Exciting company culture which stands for integrity, intensity, involvement, and innovation