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A leading company in AI and NLP is seeking a Data Scientist to contribute to transformative healthcare initiatives. The role involves developing machine learning models, building data pipelines, and collaborating on projects that enhance patient outcomes. Ideal candidates will have a strong background in healthcare and data science, with opportunities for long-term contracts in a supportive environment.
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 has received multiple awards, including the 2018 AI Solution Provider of the Year, 2019 AI Platform of the Year, 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
The company developed Spark NLP, the world's most widely used NLP library in the enterprise, and is a leading provider of clinical NLP software, powering major healthcare & pharma companies. The team comprises specialists, with 33% holding a Ph.D. or M.D., and 75% holding at least a Master’s degree in data science, medicine, software engineering, pharmacy, DevOps, and SecOps.
We are seeking a highly skilled Data Scientist to contribute to transformative healthcare initiatives. The ideal candidate will have a strong background in developing and optimizing machine learning models within healthcare, training and fine-tuning models, building production-ready inference pipelines, and conducting exploratory data analysis and data enrichment.
Key Responsibilities:
Mandatory Skills:
What We Offer:
To apply, include 'John Snow Labs' in your cover letter and explain why you're the best fit. This is more than a contract — it's a chance to make a real difference.
Our Commitment to You:
We value diversity as a catalyst of innovation and are committed to empowering talented individuals from all backgrounds.
As a fully virtual company collaborating across 28 countries, we welcome candidates from Asia or Europe. This is a contract role requiring 30-40 hours per week.