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