Research Scientist Future Imaging (all genders) - #2184324

Beiersdorf


Date: vor 2 Tagen
Stadt: Hamburg
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
Beiersdorf
Your Tasks

In our group Future Imaging, we are constantly scouting and developing new hardware and digital solutions to measure and quantify how our products impact skin. It is our aim to expand our knowledge in the field of skin care. To this end, we are developing new imaging-related methods that visualize and quantify skin non-invasively, ultimately contributing to the development of better products for our customers.

We are looking for a researcher with a strong analytical mind who enjoys driving innovation in an interdisciplinary environment and wants to share their know-how, curiosity and commitment to the development of cutting-edge digital solutions with our team.

  • You will expand and develop full AI-based analysis pipelines that process, analyze and visualize different data types (e.g. images, spectra, …) using Python.
  • You initiate and develop innovative research projects in all phases and are the contact person for R&D laboratories, study conductors and other stakeholders
  • You establish and manage successful co-operations with international partners (e.g. universities, start-ups)
  • You keep up to date with the latest technologies in your field
  • You enjoy sharing your enthusiasm for innovation with colleagues and are a strong team player
  • You support establishing new infrastructure (database, cloud-based tools, …) to drive company-wide digitalization
  • You are diligent in your work and have a strong sense of responsibility

Your Profile

  • Excellent degree in computer science, bioinformatics or physics with a focus on machine learning and data analysis. Master's degree and mandatory relevant work experience preferred, completed PhD possible
  • Substantial knowledge in the field of (medical) computer vision and classical image processing, as well as strong coding skills in Python.
  • Practical experience in at least one of the following fields: image segmentation, object detection, image classification, image restoration, image quantification.
  • Experience with frameworks such as PyTorch or TensorFlow is a plus.
  • Experience in project and stakeholder management (e.g. managing a research project from start to finish)
  • Very dedicated and enthusiastic about research with a special interest in interdisciplinary work and networking
  • Fluency in spoken and written English and a good knowledge of German or the willingness to learn

When we have received a huge number of applications, we will close the job advertisement even after a short time. However, we may go online again later.

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.

Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Additional Information

If you would like to attach a cover letter, please upload it with your resume.

If you have any questions, please contact our recruiter Regine Siebe usually on Tuesdays between 9 and 10 am via the telephone number: +49 40 4909 4956.

Have a look on our benefits! What we offer – Our Benefits | Beiersdorf

Hamburg/Germany is the primary location for this position. Therefore, we recommend residence in Hamburg.

Our company agreement allows basically up to 40% of the working time in a flexible work location in Germany. The exact arrangement of this agreement in the relevant team will be explained in a personal conversation.

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