Careers at nVoq
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.
About This Position
nVoq is seeking a Quality Assurance Engineer (QA Engineer). An individual in this role will be a hands-on, technically advanced role responsible for building confidence in our software through automation, tooling, and deep system understanding. The QA Engineer role goes far beyond executing manual test scripts. It focuses on preventing defects, validating complex integrations, and embedding quality into the development lifecycle.
This role works closely with Software Engineers, Product Owners, and DevOps to design test strategies, build automated test frameworks, and validate backend systems, APIs, and data flows in production-like environments.
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, implement, and maintain automated test suites for backend services, APIs, and integrations using scripting and programming languages (Ruby, Python, shell).
- Develop and maintain test tooling and utilities, including test data generators, validation scripts, and environment health checks.
- Collaborate with engineers early in the development process to influence testability, architecture, and quality practices.
- Validate system behavior across edge cases, failure scenarios, and real-world data conditions, not just happy paths.
- Perform exploratory testing informed by domain knowledge, system architecture, and production behavior, not only predefined test cases.
- Investigate, diagnose, and clearly document defects with root cause analysis, logs, repro steps, and technical context.
- Participate in CI/CD pipelines (e.g., Jenkins) to integrate automated tests and quality gates into deployments.
- Partner with Support and Engineering to debug production issues and validate fixes using scripts, logs, and data analysis.
- Contribute to quality standards, testing guidelines, and continuous improvement of engineering practices.
- Other job-related duties and projects as assigned.
Required Qualifications
- Degree in Computer Science, Engineering, Healthcare Informatics, or a related field, or equivalent practical experience.
- 3+ years of experience working in a technical QA, Quality Engineering, or software engineering role, ideally in systems with APIs and integrations.
Preferred Qualifications
- Healthcare IT experience is a plus but not required for candidates with strong technical fundamentals.
- Strong programming and scripting experience in Ruby and/or Python, with comfort writing maintainable, production-quality test code.
- Experience with shell scripting and working in Linux-based environments.
- Hands-on experience integrating tests into CI/CD pipelines (e.g., Jenkins).
- Deep understanding of API behavior, data contracts, error handling, and system interactions.
- Ability to read, understand, and reason about application code to design effective tests.
- Comfort debugging complex issues using logs, scripts, and system introspection tools.
- Experience testing APIs programmatically.
- Familiarity with LLMs or AI-powered systems is a strong plus, including testing non-deterministic or probabilistic behavior.
- Experience using LLMs to facilitate implementation of test scripts, test cases, and automation is a plus.
- Strong written and verbal communication skills, especially when explaining technical issues to cross-functional teams.
- High level of ownership, curiosity, and willingness to improve systems rather than just validate them.
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: $100,000 - $125,000
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 “QA Engineer” in the subject line of your email. Please apply by April 10, 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.
