About This Position
nVoq is seeking a Data Scientist to play a key role in advancing our AI-driven clinical documentation solutions. In this role, you will design, develop, and optimize statistical and natural language processing (NLP) models that power our products, while building scalable data pipelines to support model development and deployment.

You will work cross-functionally with engineering, product, and clinical stakeholders to translate complex data into actionable insights and high-impact solutions. This position requires a strong balance of technical expertise, problem-solving, and the ability to operate in a fast-paced, collaborative environment.

About Us
Founded in 2000, nVoq offers the energy and excitement of a high growth entrepreneurial environment coupled with seasoned business leadership and mature business practices. nVoq’s leadership team has over 150 collective years of experience in companies like Microsoft, Starbucks, Cerner, Garmin and Netsmart. Company Founder and CEO, Charles Corfield, has a strong track record of entrepreneurial success and is dedicated to building a great place to work.

nVoq offers a highly scalable voice recognition platform with automations support that speeds up workflow for improved productivity, efficiency and quality of service. nVoq’s software-as-a-service (SaaS) platform minimizes time spent at the keyboard by using speech to capture dictation, automate workflow, and improved medical documentation. The Company’s solution is HIPAA compliant, and securely converts speech into text in real-time with the highest level of accuracy.

Key Responsibilities:

• Design, develop, and maintain AI/ML workflows supporting healthcare AI systems and internal AI platforms
• Build and improve LLM-based systems, including retrieval workflows, prompt orchestration, reranking, and structured inference pipelines
• Assist in developing speech-processing workflows, including dictation, transcription, diarization, and speaker-identification systems
• Support scalable cloud-based inference infrastructure using AWS services
• Contribute to distributed processing systems and queue-driven AI workflows for large-scale inference workloads
• Participate in model evaluation, benchmarking, experimentation, and error analysis
• Develop and maintain data-processing pipelines for structured and unstructured clinical data
• Collaborate with engineering and product teams to integrate AI systems into production healthcare workflows
• Help optimize AI system performance, including latency, throughput, GPU utilization, and memory efficiency
• Use AI tools and coding assistants such as Claude Code and Codex in the creation, testing, and maintenance of applications, tools, and documentation.
• Document workflows, systems, and technical processes clearly and effectively

Required Qualifications

• PhD or Master’s degree in applied Statistics, Applied Mathematics, Data Science, or a related technical field
• 2+ years of experience in applied mathematics or statistics, machine learning, AI systems, or related technical work
• Strong Python programming skills
• Experience building software systems or technical projects
• Experience with machine learning, NLP, speech processing, or LLM systems
• Deep familiarity with traditional statistical models
• Creative, gritty, and highly self-motivated approach to engineering challenges
• High intellectual curiosity and willingness to learn unfamiliar technologies and domains
• Ability to work independently in a fast-moving, high-ownership environment
• Experience with AWS services
• Strong written and verbal communication skills

Preferred Qualifications

• Familiarity with cloud platforms and distributed systems concepts
• Experience with healthcare systems or secure data environments
• Familiarity with AI/ML workflows, LLM systems, or NLP concepts
• Familiarity with retrieval systems, embeddings, semantic search, or RAG concepts
• Familiarity with speech-processing, transcription, or diarization systems
• Familiarity with Linux development environments preferred

Compensation Philosophy & Target

We regularly conduct thorough market research based on a variety of factors to establish a competitive base salary structure for each role and adjust accordingly. This role is base salary plus full benefits including employee stock options (4 year vesting).

Target Base Salary: $115,000 – $135,000 annually

About Our Benefits

We offer a comprehensive benefits package that includes: Group medical, dental and vision plans, generous paid vacation and holidays, employee stock options, and a 401(k) plan.

To Apply
Interested candidates with the proper qualifications are requested to submit their resume to jobs@nvoq.com, please reference “Data Scientist” in the subject line of your email. Please apply by June 30, 2026.

nVoq is an equal opportunity employer. All applicants will be considered for employment without attention to race, ethnicity, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.