Data Scientist (m/w/d)

Requirements

• A bachelor's or master degree in natural sciences, medical
• engineering, bioinformatics or a related field
• Knowledge of professional software for data science with one or more
• programming languages (e.g. Python, R)
• Lab experience
• Excellent spoken and written command of English (German is
• advantageous)
• Prior knowledge in LC/MS and LC/MS troubleshooting is a plus
• Prior knowledge in software development processes is a plus
• Attractive salary and long-term job security through affiliation
• with the Group
• Up to 30 days vacation per year
• Contribution to company pension scheme after end of probationary
• period
• Extensive social benefits, including Christmas and vacation bonuses
• Compensation for travel expenses
• Usually a permanent employment contract
• Good chances of being taken on by our business partners
• Targeted training opportunities and free language courses
• A wide range of discounts for employees

Additional Information

Randstad is one of the world's leading talent companies with the ambition to be the world's most equitable and specialized talent company. Through our "partner for talent" corporate strategy, we find, develop and connect specialized talents with companies - worldwide, locally and always at a high speed. We build high-quality, diverse, and agile teams, while individuals can enjoy a rewarding career path with equitable opportunities. Randstad Professional is one of Randstad's four specializations and focuses on the placement of specialists and managers in the future-oriented sectors of IT, Engineering, Life Science and Office. Bridging the Gap Between Science and Data: Shape the Future of LC/MS Analysis With Us! In this versatile role, you will connect the dots between practical laboratory work and modern software development. Serving as a key liaison, you will drive collaboration with external software developers, advance innovative data science projects, and optimize our LC/MS systems through targeted experiments. If you are passionate about natural sciences, data analysis, and cross-functional, international collaboration, we want you on our team! - Drive meetings with external Software developers to ensure the development of new software tools according to the planned goals - Utilize in-house software and data science methodologies for data analysis. - Plan, coordinate, and execute work packages within your area of responsibility, including reporting and escalating topics or issues to the team - Exchange with experts of different disciplines, departments and countries - Planning, execution and evaluation of experiments of LC/MS systems

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