Senior React Frontend Software Engineer

Remote, OTHER

John Snow Labs

John Snow Labs is an award-winning AI company that helps healthcare and life science organizations put AI to work faster, providing high-compliance AI platform, state-of-the-art NLP libraries, and data market.

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Company Description

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 are seeking an exceptional full-stack software engineer to join a growing team. The ideal candidate will take on the challenge of building web services and applications, with some knowledge of backend development using Python. The right candidate will have substantial, proven hands-on experience with these technologies, a deep understanding of full-stack web development, working knowledge of existing tools and frameworks for UI development, and a passion for writing high-quality code and design.

Qualifications

4+ years of hands-on experience building with ReactJS, Python, full-stack web app frameworks, and common Linux software engineering tools (Git, Docker, etc.) are required. Experience delivering production-grade software projects in an industrial setting and working as part of an agile software team is also required.

A basic understanding of machine learning (ML) and natural language processing (NLP) terms/technologies is a plus.

If you are a good fit for this job, please include the words "John Snow Labs" in your response and explain why you are the right person for this role. This role is not open for teams of agencies – we are only looking for freelancers who are directly applying for themselves. This is a potentially long-term freelancing opportunity with substantial opportunities to learn new technologies and grow your career.

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.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Clinical NLP DevOps Docker Engineering Git Industrial Linux Machine Learning NLP Open Source Pharma Python React Spark

Perks/benefits: Career development Startup environment

Region: Remote/Anywhere

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