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John Snow Labs
John Snow Labs

John Snow Labs US-Based Healthcare Data Scientist

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Machine learning
Data
Project management
+23

Contract role
11 days ago
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Job Description

John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.

Qualifications

Key Responsibilities:

  • Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
  • Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
  • Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
  • Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
  • Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.

Mandatory Skills:

  • Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
  • Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
  • Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
  • A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
  • Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus.

What We Offer:

  • A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
  • Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
  • The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract — it's a chance to make a real difference.

Additional Information

Our Commitment to You

At John Snow Labs, we believe that diversity is the catalyst of innovation. We’re committed to empowering talented people from every background and perspective to thrive.

We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com

  • We are a fully virtual company, collaborating across 28 countries.
  • Open to candidates in Asia or Europe.
  • This is a contract opportunity, not a full-time employment role.
  • This role requires the availability of at least 30-40 hours per week.

About John Snow Labs

👥51-200
📍Lewes, Delaware, United States
🔗Website

John Snow Labs Service

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John Snow Labs product / service
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How does John Snow Labs work?

John Snow Labs Inc. is a Healthcare AI company accelerating progress in data science by taking on the headache of managing data, models, and platforms.

Company culture

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