Job Description
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
Requirements
Required Skills: Proven track record in product management for digital health platforms, telemedicine apps, EHR systems, or healthcare SaaS. Strong understanding of healthcare workflows, patient journeys, and clinical environments. Familiarity with health data standards: FHIR, HL7, ICD-10, SNOMED. Proficiency in Agile frameworks (Scrum, Kanban) and tools like Jira, Confluence, or Asana. Strong stakeholder communication and leadership skills. Experience working with software development teams in a regulated environment. Desired Skills: Experience launching B2B or B2C HealthTech products. Knowledge of AI/ML in healthcare or mobile health technologies. Master’s degree (MBA, MSc Health Informatics, or equivalent). Understanding of NHS Digital frameworks or interoperability challenges in the UK.