Senior Software Engineer (Frontend)

Senior Software Engineer (Frontend)

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award. John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 20% hold a Ph.D. or M.D. and 53% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

We're seeking an experienced software engineer to architect and implement complex user interfaces for our healthcare chatbot platform. Key Responsibilities

• Architect and implement complex frontend solutions using TypeScript and React
• Collaborate with designers and AI engineers to create intuitive user interactions and experiences
• Maintain high standards for code quality through testing, documentation, and code review

Qualifications

Required Technical Skills

Additional Information

What John Snow Labs offers : The Opportunity : We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position. What We Offer : - Career Growth : This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques. - Collaborative Environment : Work within a team of clinical and data science experts to make a significant impact. - State of the Art Technology : Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers. - Learning and Culture : Opportunities for professional development through knowledge exchange within a global AI community. Application Process : Qualified and interested candidates should apply by submitting a resume, a list of peer-reviewed publications, and public examples of software code or past projects.