Data Scientist (AI/NLP)

TL;DR

Data Scientist (AI/NLP): Designing, implementing, and evaluating advanced natural language understanding (NLU) systems for clinical text with an accent on transformers, generative AI, and neural architectures. Focus on translating business requirements into experimental criteria, mitigating model weaknesses, and deploying models into a cloud environment.

Location: Remote. US citizenship or permanent resident required. Must be legally authorized to work in the US without sponsorship for employment visa status (e.g., H1B status). 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 (travel arrangements and related expenses will be coordinated and paid for by the company).

Salary: $106,000 - $145,750 (includes base pay plus variable incentive pay).

Company

hirify.global is a new healthcare company dedicated to creating breakthrough solutions and pioneering game-changing innovations at the intersection of health, material, and data science to improve lives.

What you will do

• Scope and design NLP/NLU applications that support clinical understanding of medical documents and healthcare workflows.
• Translate business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable.
• Process, align, and enrich diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems.
• Develop and evaluate deep learning models, including transformer-based architectures and neural architectures for capturing linguistic patterns in clinical text.
• Understand and mitigate model weaknesses, including bias, drift, hallucination behavior, and robustness concerns.
• Deploy models into hirify.global’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems.

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 and libraries such as PyTorch and Transformers.
• Solid grasp of statistics and exploratory data analysis.
• US citizenship or permanent resident required.
• Must be legally authorized to work in the country of employment without sponsorship for employment visa status.

Nice to have

• Experience conducting research-driven NLP/NLU work 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

• Solve big challenges that improve lives and help healthcare professionals perform at their best.
• Collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams.
• Access to many programs designed to support your well-being, both physically and financially.
• Competitive pay and benefits, regularly benchmarked with other comparable companies.
• Opportunity to tap into curiosity and collaborate with innovative and diverse people around the world.