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
Required Skills:
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. Masters degree (MBA MSc Health Informatics or equivalent). Understanding of NHS Digital frameworks or interoperability challenges in the UK.
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 model...
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
Required Skills:
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. Masters degree (MBA MSc Health Informatics or equivalent). Understanding of NHS Digital frameworks or interoperability challenges in the UK.
View more
View less