Tech Lead Data Science and Engineering – Medical Products (m/f/d)

vacanciesin.eu

As a Tech Lead in the Data Solutions team of Fresenius Medical Care, you will play a crucial role in leading the development and implementation of data solutions for medical products and services as software as a medical device (SaMD), contributing to the improvement of patient care. 

Your assignments:

  • Take technical ownership of a team of data scientists and engineers, leading the design, implementation, and management of cloud infrastructure, machine learning models, and algorithms to extract insights from complex medical data.
  • Collaborate closely with the Head of Data Science and Head of Data Engineering to shape the technical development direction and make architectural decisions.
  • Consult stakeholder on data analytics solutions and their feasibility for addressing critical medical challenges.
  • Utilize data, quantitative methods, and software to create products such as dose recommendations, risk scores, and outcome predictions, ensuring adherence to software as a medical device (SaMD) guidelines when needed.
  • Contribute to code, research, model development, data analysis, code reviews, and system architecture, setting high standards of technical excellence.
  • Work collaboratively with business and functional teams to drive the realization of the digital and data strategy of Fresenius Medical Care’s MedTech sector.
  • Foster a team culture of technical excellence and value-based product delivery.
  • Manage external partners and researchers.

Your profile:

Critical Experience 

  • Proven track record in data science or engineering leadership with experience in leading data science/engineering teams for end-to-end product delivery
  • Minimum 4 years of experience in a technical data role
  • Strong knowledge of latest data science research and applications
  • Understanding of data science, data engineering, and cloud architecture with expert knowledge in one of these disciplines

Nice to have: 

  • Background in the healthcare industry developing software as a medical device (SaMD), ensuring compliance with regulatory requirements.
  • Experience with safety risk management and validation of machine learning algorithms or data-driven solutions.

Apply now
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