John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs • Delaware City, DE

229d

About The Position

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.

Requirements

• Proven experience in consistently delivering real-world projects covering the key responsibilities.
• 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.

Responsibilities

• Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem.
• 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.

Benefits

• 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.
• The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

What This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 51-100 employees