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.
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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.
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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