NLP Engineer Healthcare AI – Seattle, WA

Are you passionate about leveraging cutting-edge AI to transform healthcare through natural language understanding? We are seeking a skilled NLP Engineer to join our pioneering Healthcare AI team in Seattle, WA. This is a unique opportunity to develop advanced NLP models that improve patient outcomes, streamline clinical workflows, and drive innovation in a fast-evolving industry. If you thrive in a collaborative environment and excel at solving complex language challenges, this role is made for you.

Drive Breakthroughs in Healthcare AI in Seattle

A leading Healthcare AI company based in Seattle, WA is looking for an NLP Engineer to enhance its suite of AI-driven clinical solutions. The ideal candidate will possess deep expertise in NLP, machine learning, and healthcare data, with a strong focus on applying these skills to real-world medical applications. If you are eager to contribute to life-changing technologies and shape the future of healthcare through AI, join us in this exciting journey.

Key Responsibilities of the NLP Engineer – Healthcare AI

Design and Develop Advanced NLP Models: Build, optimize, and deploy state-of-the-art natural language processing models tailored to healthcare data, including clinical notes, patient records, and medical literature to enable accurate and meaningful language understanding.

Data Preprocessing and Annotation: Collaborate with domain experts to preprocess and annotate large-scale healthcare datasets, ensuring data quality and relevance for training and validating NLP models.

Integrate NLP Solutions into Clinical Workflows: Work closely with software engineers and product teams to embed NLP capabilities into existing healthcare platforms, improving decision support, patient triage, and automated documentation.

Innovate with Machine Learning Techniques: Research and apply cutting-edge machine learning and deep learning algorithms to enhance NLP performance on healthcare-specific tasks such as entity recognition, relation extraction, and clinical summarization.

Collaborate with Cross-Functional Teams: Partner with clinicians, data scientists, engineers, and product managers to understand healthcare challenges and translate them into effective AI-driven NLP solutions.

Model Evaluation and Improvement: Conduct rigorous testing, error analysis, and performance tuning of NLP systems, ensuring models meet accuracy, fairness, and compliance requirements in sensitive healthcare environments.

Maintain Compliance and Data Security: Ensure all NLP development complies with healthcare data privacy standards (e.g., HIPAA) and follows best practices for secure data handling.

Stay Current with AI and Healthcare Advances: Continuously monitor advances in NLP, AI, and healthcare informatics to integrate new methods and maintain the company’s leadership in Healthcare AI innovation.

What the Client is Looking for in You

As the NLP Engineer for Healthcare AI, the client is seeking a highly skilled and innovative professional who can harness the power of natural language processing to transform healthcare delivery. You should be a problem solver passionate about advancing AI technologies in clinical settings, capable of working collaboratively in a fast-paced, interdisciplinary environment.

Expertise in NLP and Machine Learning Applied to Healthcare

The client values candidates with deep technical expertise in NLP techniques such as entity recognition, relation extraction, and clinical text classification, especially applied to healthcare data like electronic health records (EHRs) and medical literature. Experience with machine learning frameworks, deep learning models, and healthcare-specific language challenges is critical.

Strong Background in Healthcare Domain Knowledge

Understanding the complexities of healthcare data, clinical workflows, and regulatory requirements (e.g., HIPAA) is essential. You should be able to interpret medical terminology and clinical narratives, ensuring NLP models are accurate, relevant, and compliant with privacy standards.

Innovative and Strategic Thinker

The ideal candidate will be forward-thinking and proactive, continuously exploring new NLP methods and AI advancements to improve healthcare outcomes. You should be able to translate complex problems into scalable, effective solutions that integrate seamlessly into healthcare applications.

Collaborative Team Player with Excellent Communication Skills

Working closely with clinicians, data scientists, engineers, and product managers is vital. The client looks for someone who communicates technical concepts clearly and can collaborate across disciplines to align NLP initiatives with clinical needs and business goals.

Detail-Oriented with a Focus on Model Quality and Reliability

Precision is paramount in healthcare AI. The client expects you to rigorously evaluate, test, and optimize NLP models to ensure they meet high standards for accuracy, fairness, and robustness in sensitive medical environments.

Commitment to Ethical AI and Data Security

The role demands strict adherence to data privacy, security protocols, and ethical considerations in AI development. The client prioritizes engineers who champion responsible AI practices while navigating healthcare regulations.

FAQs About the Role – NLP Engineer Healthcare AI – Seattle, WA

1. What are the key responsibilities of the NLP Engineer in this role?
As an NLP Engineer, you will design, develop, and deploy advanced natural language processing models specifically tailored for healthcare data such as clinical notes and electronic health records. You will collaborate with cross-functional teams to integrate NLP solutions into healthcare applications, ensure data quality, optimize model performance, and maintain compliance with healthcare regulations.

2. What qualifications and experience are required for this position?
The ideal candidate will have strong expertise in NLP, machine learning, and deep learning frameworks, particularly applied to healthcare or biomedical text. Experience working with clinical datasets, knowledge of healthcare terminology, and familiarity with regulatory standards like HIPAA are highly desirable. A degree in computer science, computational linguistics, or a related field is typically required, with advanced degrees preferred.

3. What technical skills are essential for success in this role?
You should have proficiency in programming languages such as Python, experience with NLP libraries (e.g., SpaCy, Hugging Face Transformers), and strong skills in model training, evaluation, and deployment. Familiarity with healthcare data standards (e.g., HL7, FHIR) and cloud platforms for scalable AI solutions will be advantageous.

4. What challenges can I expect in this position?
You will face challenges related to the complexity and variability of medical language, ensuring model accuracy and fairness, and addressing strict data privacy and security requirements. Translating clinical needs into AI solutions while working with noisy or incomplete datasets will also be key challenges.

5. How does this role impact healthcare and patient outcomes?
Your work will directly contribute to improving clinical decision-making, automating documentation, and enhancing patient care through intelligent AI-driven insights. The NLP models you develop can reduce clinician burden and enable faster, more accurate healthcare delivery.

6. What is the company culture and work environment like?
The company fosters a collaborative, innovative, and mission-driven culture focused on using AI to transform healthcare. You will work alongside experts in AI, healthcare, and software engineering in a fast-paced but supportive environment that values creativity, continuous learning, and impact.

What Remuneration Can You Expect from This Job?

As an NLP Engineer specializing in Healthcare AI based in Seattle, WA, you can expect a competitive and comprehensive compensation package designed to attract top technical talent in this specialized and rapidly growing field. The remuneration for this role typically includes:

1. Base Salary
The base salary for an NLP Engineer in healthcare AI varies depending on experience, education, and the company’s size and funding stage. In Seattle’s competitive tech and healthcare market, annual base salaries generally range from $110,000 to $160,000, with senior or highly specialized candidates potentially earning more.

2. Performance-Based Bonuses
Many companies offer annual or bi-annual bonuses tied to individual and company performance metrics, such as successful project delivery, model accuracy improvements, or product milestones. These bonuses can range from 5% to 20% of the base salary.

3. Equity & Stock Options
Startups and growth-stage Healthcare AI firms often provide equity grants or stock options as part of the compensation package. These long-term incentives align your success with the company’s growth and can become a significant financial benefit as the company scales.

4. Benefits & Perks
Comprehensive benefits packages typically include:

Health, dental, and vision insurance
401(k) retirement plans with company matching
Paid time off and flexible work arrangements
Professional development stipends and continuous learning opportunities
Wellness programs and employee assistance services

5. Signing Bonuses & Relocation Assistance
For highly qualified candidates, some employers may offer signing bonuses or relocation packages to facilitate your move to Seattle. These incentives can range from $5,000 to $20,000, depending on the company and candidate profile.

Total Compensation Potential

Considering base salary, bonuses, equity, and benefits, total annual compensation for an NLP Engineer in Healthcare AI can range from $120,000 to $200,000+, with top-tier candidates at leading companies potentially exceeding this range.

How to Apply

If you are a passionate and innovative NLP Engineer and a strong background in developing natural language processing solutions for clinical data, we invite you to apply for this exciting opportunity based in Seattle, WA. This role offers a chance to contribute directly to transformative AI technologies that improve patient outcomes and revolutionize healthcare delivery.

To apply, please submit your resume and a cover letter outlining your experience with NLP, machine learning, and healthcare-specific language models. Be sure to highlight your familiarity with clinical datasets, your ability to collaborate with interdisciplinary teams, and any relevant projects where you applied AI to healthcare challenges.

This position provides a unique opportunity to work at the forefront of healthcare AI innovation within a dynamic, mission-driven organization. Apply today to help shape the future of healthcare through advanced natural language processing technology.

For more information or to explore other roles in healthcare AI and machine learning, please visit our Healthcare AI Recruiting Page.

Job Category: Healthcare AI

Job Type: Full Time

Job Location: Seattle

NLP Engineer Healthcare AI – Seattle, WA