Who We Are

1nHealth is a technology-driven patient recruitment company transforming how clinical studies find and engage participants. For the past six years, we’ve grown from a bootstrapped startup into a 45-person team serving leading pharmaceutical companies, top biotech firms, and many of the world’s premier Contract Research Organizations (CROs).

Our mission is simple but ambitious: connect patients to valuable research and advance human health. Every study we fill has the potential to change lives—for patients, for our clients, and for society at large.

We believe in a meritocratic, people-first culture where smart, driven professionals can make a real impact. If you want to use technology for good and be part of a collaborative, high-performing team, we’d love to have you join us at 1nHealth.
1nHealth

Role Overview

We are seeking a highly skilled AI/ML Engineer to join our growing technology team. This role will be responsible for designing, developing, and deploying machine learning and AI solutions that integrate seamlessly with our Laravel, React, and MySQL-based platform that drive strategic insights, automation, and product innovation. The ideal candidate is passionate about leveraging data science and engineering to solve real-world problems and is comfortable working across the full ML lifecycle—from data processing to model deployment and monitoring. As the dedicated AI/ML engineer, you’ll work closely with product managers, full-stack engineers, and analysts to bring intelligent, data-driven capabilities into production within the Product, and tested, validated, and scaled within the Company’s Operations outside the Product, as appropriate.

Key Responsibilities

• Model Development & Deployment: Design, train, and optimize machine learning models for predictive analytics, decision support, and intelligent automation, leveraging NLP, computer vision, LLMs/agents, and other related technologies.
• Data Engineering: Build robust data pipelines for preprocessing, feature engineering, and model training at scale, ensuring seamless integration with our MySQL-based systems.
• Integration with Platform: Expose models via APIs or microservices, enabling smooth integration with our Laravel backend and React frontend applications.
• MLOps & Automation: Implement CI/CD pipelines, containerization, and monitoring for scalable and reliable deployment of ML services.
• Performance Monitoring: Track performance with A/B testing, metrics, and feedback loops to ensure reliability and continuous improvement to ensure real-world reliability.
• Research & Prototyping: Stay current with state-of-the-art techniques in AI/ML techniques, quickly prototype solutions, and evaluate emerging technologies for incorporation into the 1nData product and for efficiencies within the Company’s operations.
• Collaboration & Mentorship: Partner closely with product managers, software engineers, while mentoring teammates on ML best practices and applied use cases.
• Data Governance & Compliance: Establish standards for data quality, maintain clear documentation, performance metrics, and responsible AI practices, with attention to security and privacy requirements.

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3+ years of hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Strong programming skills in Python.
• Solid understanding of algorithms, data structures, and software engineering practices.
• Proficiency in SQL and experience working with relational databases (e.g., MySQL).
• Experience deploying ML models into production (APIs, microservices, or embedded services).
• Experience with cloud platforms (AWS, GCP, Azure) for ML workloads.
• Familiarity with version control systems (Git/GitHub) and collaborative development workflows
• Experience with agentic/LLM frameworks (e.g., LangChain, Haystack, or similar).

Preferred:

• Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
• Familiarity with experiment tracking and reproducibility tools (e.g., Weights & Biases, MLflow)
• Knowledge of data privacy, security, and ethical AI considerations.
• Background in healthcare, biotech, or life sciences and familiarity with regulatory environments (e.g., HIPAA, FDA)  is a plus.

Why join us?

• Work at the intersection of software engineering and applied AI, shaping how intelligence is embedded in our platform.
• Collaborate with a cross-functional team of engineers, product managers, and analysts.
• Opportunity to be a foundational AI/ML contributor, setting direction for AI capabilities in our products.
• Contribute to impactful solutions in a fast-growing, innovation-driven environment.

What makes us different?

• 100% remote work
• Unlimited PTO
• 401(k) with employer contribution
• Company-paid basic life insurance
• Access to employee discount programs
• A culture focused on smart people doing meaningful work

1nHealth provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. We support an inclusive workplace where employees excel based on personal merit, qualifications, experience, ability, and job performance.