
Elytra Biomaterials accelerates the development of sustainable biomaterials for medical and industrial uses. Its BEAM platform uses custom machine learning models to structure data, run predictive optimization, and guide formulation decisions. The company targets biomaterial design, including biosensors, prosthetic interfaces, wound healing, and controlled release systems. Customers are primarily R&D teams in pharma, medical devices, and materials industries, typically via a SaaS subscription. This approach reduces development cycles, lowers R&D costs, and expands scalable adoption of eco-friendly materials.

Elytra Biomaterials accelerates the development of sustainable biomaterials for medical and industrial uses. Its BEAM platform uses custom machine learning models to structure data, run predictive optimization, and guide formulation decisions. The company targets biomaterial design, including biosensors, prosthetic interfaces, wound healing, and controlled release systems. Customers are primarily R&D teams in pharma, medical devices, and materials industries, typically via a SaaS subscription. This approach reduces development cycles, lowers R&D costs, and expands scalable adoption of eco-friendly materials.
About the Role
We are expanding our remote team and are currently inviting applications for an entry-level Data Analyst role.
This position is fully remote and suitable for candidates who are interested in working with data, following clear instructions, and supporting internal analysis tasks. No prior professional experience is required.
Key Responsibilities:
• Review, organize, and validate basic datasets
• Assist with simple data analysis and reporting tasks
• Identify inconsistencies or missing information in data
• Follow documented workflows and quality guidelines
• Support internal teams with routine data-related tasks
Requirements:
• Basic computer and internet skills
• Ability to read and understand instructions in English
• Attention to detail and willingness to learn
• Interest in data analysis or online research
• No formal degree or prior experience required
What We Offer:
• Fully remote working environment
• Clear onboarding and task guidelines
• Flexible working structure
• Opportunity to gain practical experience in data operations
Additional Information: