John Snow Labs USBased Healthcare Data Scientist

John Snow Labs; Delaware City (DE); Remote; USD 90,000 - 120,000; Part time

Job summary

A leading company in healthcare AI is seeking a skilled Data Scientist to develop and optimize machine learning models. The role involves building robust data pipelines and collaborating on impactful projects. Candidates should have a strong background in healthcare and machine learning, with a focus on delivering real-world solutions. This contract position offers the chance to work on cutting-edge problems that directly affect patient outcomes.

Benefits

Opportunity to work on cutting-edge problems

Long-term freelancing contracts

Supportive, collaborative environment

Qualifications

• Hands-on experience with OMOP, FHIR, and clinical terminologies.
• Strong background in healthcare-related fields.
• Experience with LLMs and Generative AI is an advantage.

Responsibilities

• Train and enhance LLM & NLP models using Python libraries.
• Build data science pipelines for analyzing clinical data.
• Collaborate on customer-facing projects involving advanced ML and deep learning.

Skills

Machine Learning

Data Analysis

Communication

Education

PhD in relevant field

Tools

Spark NLP

Job description

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:

• Proven experience in delivering real-world projects covering key responsibilities. Academic-only knowledge or using existing APIs for application development is insufficient.
• 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 medical language models, is a plus.

Key Responsibilities:

1. Train, fine-tune, and enhance LLM & NLP models using open-source Python libraries. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
2. Build data science and data engineering pipelines for analyzing clinical data, including extracting information from medical text or images, and integrating data from multiple sources.
3. Collaborate with the team on customer-facing projects, creating advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to business needs.
4. Validate models for bias, overfitting, and concept drift to ensure reliability and effectiveness.
5. Engage directly with customers, requiring strong communication skills to convey complex technical concepts clearly.

What We Offer:

• Work on cutting-edge problems in healthcare and life sciences, impacting patient outcomes.
• Long-term freelancing contracts with at least 30 hours per week. We seek individuals, not agencies or teams.
• Opportunity to grow your skills and knowledge within a supportive, collaborative environment.

To apply, include the words 'John Snow Labs' in your cover letter and explain why 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 diversity fuels innovation. We are committed to empowering talented individuals from all backgrounds.

We are an award-winning, fully virtual global team across 28 countries, focused on helping clients leverage AI effectively. More info at JohnSnowLabs.com

• Open to candidates in Asia or Europe.
• This is a contract opportunity, not full-time employment.
• Availability of at least 30-40 hours per week required.