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.