
Aktiviere Job-Benachrichtigungen per E-Mail!
Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf
Überzeuge Recruiter und verdiene mehr Geld. Mehr erfahren
A leading skincare company in Hamburg seeks a passionate biological skin researcher to join their interdisciplinary team. The role involves monitoring aging science, initiating innovative screening projects, and collaborating with external partners. The ideal candidate holds a PhD in natural sciences and has profound expertise in skin biology, particularly in skin aging. Strong communication skills and fluency in English are mandatory, with German preferred.
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.
You are passionate about biological skin research working in an interdisciplinary team of biologists and bioinformaticians translating newest scientific findings into consumer‑oriented skin care concepts and products. Join our lab and identify new rejuvenation approaches for the skin!
If you have any questions please contact our recruiter Regine Siebe usually on Tuesdays between 9 and 10 am via the telephone number : . We will reject this job opening as soon as we have an adequate number of candidates.
Laboratory Experience, Machine Learning, Python, AI, Bioinformatics, C/C++, R, Biochemistry, Research Experience, Natural Language Processing, Deep Learning, Molecular Biology
Employment Type: Full‑Time
Experience: years
Vacancy: 1