Introduction
We are seeking a Healthcare Algorithm Specialist with expertise in applying AI and data science to medical and clinical domains. If you are passionate about developing safe, effective, and compliant healthcare AI systems that transform patient care, this role offers an opportunity to impact global health outcomes.
As a Healthcare Algorithm Specialist at our organization, you will design and validate algorithms used in diagnostics, medical imaging, patient monitoring, and treatment optimization. You’ll collaborate with clinicians, researchers, and regulatory experts to ensure models meet the highest accuracy and safety standards.
We offer competitive compensation, comprehensive benefits, and the chance to work on AI solutions that directly improve lives.
Objectives of this role
- Develop AI models for diagnostics, clinical decision support, and treatment optimization.
- Validate algorithms against medical datasets and regulatory requirements.
- Ensure compliance with healthcare standards, patient safety, and ethical guidelines.
- Collaborate with healthcare professionals to align solutions with clinical needs.
Your tasks
- Design and train AI algorithms for structured and unstructured medical data.
- Work with imaging, genomics, and electronic health record datasets.
- Conduct rigorous validation studies and bias testing.
- Ensure compliance with HIPAA, FDA, and other healthcare regulations.
- Publish findings and contribute to clinical AI best practices.
- Partner with research institutions and hospitals for pilot studies.
Required skills and qualifications
- Bachelor’s degree in Computer Science, Bioinformatics, or related field.
- 3+ years of experience developing AI models in healthcare or life sciences.
- Proficiency in ML frameworks (TensorFlow, PyTorch) and data pipelines.
- Understanding of healthcare data formats (DICOM, HL7, FHIR).
- Knowledge of compliance frameworks (HIPAA, GDPR).
Preferred skills and qualifications
- Advanced degree in Medical AI, Health Informatics, or Computational Biology.
- Experience with explainable AI methods in healthcare.
- Familiarity with FDA software-as-medical-device (SaMD) guidelines.
- Research publications or patents in healthcare AI.
- Contributions to open-source medical AI frameworks.
