Clinical AI Engineer

Job Description

Mastar Limited is partnering with a pioneering Healthcare AI company to hire a Clinical AI Engineer who will work on cutting-edge solutions that improve clinical diagnostics, treatment outcomes, and healthcare decision-making. You will develop, deploy, and optimize machine learning models using real-world clinical data in a regulated, high-impact environment.

Key Responsibilities

• Design and implement ML/AI algorithms for healthcare applications (e.g., diagnosis, risk prediction, patient stratification).
• Work with clinicians, data scientists, and engineers to translate clinical problems into AI-driven solutions.
• Develop pipelines for data preprocessing, model training, validation, and deployment.
• Ensure compliance with healthcare standards such as HIPAA, GDPR, and clinical validation protocols.
• Collaborate on regulatory submissions and technical documentation (e.g., CE marking, FDA).
• Evaluate model performance and generalizability using diverse clinical datasets.

Requirements

Required Skills

• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
• Experience with healthcare data types (EHR, DICOM, HL7, FHIR).
• Strong knowledge of statistics, deep learning, and signal processing.
• Understanding of clinical trial data and medical research practices.
• Ability to work with interdisciplinary teams including clinicians and regulatory experts.

Desired Skills

• Experience in deploying AI models in cloud-based environments (e.g., AWS, GCP, Azure).
• Knowledge of model explain ability and interpretability in clinical settings.
• Familiarity with ISO 13485, IEC 62304, or other med-tech standards.
• Published work or contributions to healthcare AI projects.

Benefits

Job Benefits

• Competitive salary with performance-based bonuses
• 28 days annual leave + bank holidays
• Hybrid work model and flexible hours
• Private health insurance
• Professional training budget and AI/ML conference access
• Inclusive and mission-driven culture