Clothing Designer – Patient-Focused Apparel
SMTH NEW TECH (UK) CO., LTD
Location:London or Remote (UK-based)Salary£35,000 - £40,000 depending on experience
Posted Date
December 1, 2024 Employment TypeFULL_TIMEJob Description
We are seeking a creative and experienced Clothing Designer who specialises in designing patient-centred apparel using antibacterial and antiviral fabrics. The ideal candidate will focus on enhancing patient comfort and experience through thoughtful design while maintaining high standards of hygiene and safety.
Responsibilities
Design innovative and practical clothing using advanced antibacterial and antiviral fabrics, with a focus on enhancing patient comfort. Collaborate with medical professionals and fabric technologists to ensure garments meet medical and safety standards.
Develop designs tailored to patient needs, from ease of wear to long-term comfort. Participate in design reviews and refine concepts based on feedback from patients, medical staff, and internal teams. Work closely with manufacturers to ensure designs are produced in accordance with specifications.
Research and stay updated on fabric technologies and the latest trends in healthcare-related fashion. Preferred Qualifications
Education: College and above
Working Experience: 3+ years of working experience
Requirements
Minimum of 3 years of experience in clothing design, ideally with exposure to medical or patient-oriented garments. Strong understanding of antibacterial and antiviral fabrics, and how to integrate these into functional designs.
Proven portfolio showcasing your work in fashion, particularly patient or healthcare-related projects. Experience in patient services or volunteer work in healthcare is preferred. Ability to work independently and collaboratively, with strong communication and project management skills.
Flexibility to work remotely, or from a London-based location. How to Apply
Please submit your CV and portfolio showcasing relevant design work to [email protected]. Candidates are encouraged to bring physical or digital samples of their previous