Data Scientist (Medical AI/NLP)

TL;DR

Data Scientist (Medical AI/NLP): Designing, implementing, and evaluating advanced natural language understanding (NLU) systems for medical document analysis with an accent on transformers, generative AI, and research-oriented neural architectures. Focus on translating clinical requirements into measurable models, mitigating model weaknesses, and deploying solutions in a regulated healthcare cloud environment.

Location: Remote (must be legally authorized to work in the US without sponsorship for employment visa status (e.g., H1B status) and be a US citizen or permanent resident). New hires with a start date of October 1st 2025 or later will be required to travel to a designated company location for on-site onboarding during their initial days of employment.

Salary: $119,076 – $145,537 (USD), including base pay plus variable incentive pay.

Company

hirify.global is a new healthcare company focused on creating breakthrough solutions at the intersection of health, material, and data science to improve lives.

What you will do

• Scope and design NLP/NLU applications for clinical understanding of medical documents.
• Translate business and clinical requirements into mathematical and experimental criteria for models.
• Process, align, and enrich diverse structured and unstructured medical datasets for AI systems.
• Develop and evaluate deep learning models, including transformer-based architectures and neural networks.
• Understand and mitigate model weaknesses such as bias, drift, and hallucination.
• Design experiments and error analyses to explain model behavior to technical and non-technical audiences.
• Deploy models into hirify.global’s cloud environment, ensuring reliability, observability, and compliance.
• Stay current with emerging research in NLP/LLMs and identify opportunities for deep learning initiatives.

Requirements

• Master's degree or PhD in Computer Science, Mathematics, or related fields, OR Bachelor’s degree with at least 5 years of IT experience.
• Solid experience in Python, especially in deep learning for text analysis, with libraries like PyTorch and Transformers.
• Solid grasp of statistics and exploratory data analysis.
• US citizenship or permanent resident is required.
• Ability to self-organize across multiple technical and business contexts.
• Experience extracting and presenting insights from complex clinical datasets.

Nice to have

• Experience with research-driven NLP/NLU involving representation learning, attention mechanisms, or hybrid neural architectures.
• Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices.
• Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks.
• Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks.
• Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED).

Culture & Benefits

• Competitive pay and benefits benchmarked with comparable companies.
• Programs to support physical and financial well-being.
• Opportunity to meet with managers and new employees during new employee orientation.
• Focus on integrity, professionalism, and equal opportunity.

Hiring process

• Application requires uploading a resume or entering education and work history.
• On-site onboarding is required for new hires starting October 1st 2025 or later, with travel expenses covered by the company.