Clinical AI Engineer
Posted Updated
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.
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