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Company Overview
A leading healthcare organization focused on delivering innovative patient care, medical research, and administrative solutions through advanced technology. Its Data Science and Innovation team develops artificial intelligence and machine learning solutions in collaboration with clinicians, researchers, and operational teams to improve healthcare outcomes while emphasizing safety, ethics, and cost-effective implementation.
Responsibilities
Build, deploy, and maintain AI- and machine learning-enabled healthcare workflows.
Collaborate with clinical, operational, research, and technical teams to design and develop data science solutions for healthcare challenges.
Evaluate tools, platforms, and technical strategies supporting the lifecycle of machine learning models built from healthcare data.
Train, develop, and validate machine learning algorithms using hospital and healthcare datasets.
Conduct rigorous quality control checks and bias assessments to support the safe and responsible use of AI and ML models.
Develop predictive algorithms and other machine learning innovations for clinical and healthcare applications.
Design, implement, and support machine learning models intended for use in clinical environments.
Work with clinicians and researchers across disciplines to develop approaches that can be incorporated into clinical care.
Contribute to the implementation of AI solutions in a safe, ethical, and cost-effective manner.
Qualifications
Master’s or PhD degree in Statistics, Informatics, or a related field.
For candidates with a PhD, relevant experience is preferred.
For candidates with a Master’s degree, 4+ years of related experience working with applied problems.
Proficiency in SQL, R, or Python for processing and analyzing large datasets in distributed cloud environments.
Experience processing and analyzing healthcare data.
Experience developing, evaluating, and implementing machine learning models.
Experience working with clinicians and researchers across multiple disciplines to develop solutions for clinical care.
Experience working in cloud computing environments or within a healthcare organization.
Graduate-level understanding of machine learning, knowledge representation, and artificial intelligence.
Strong understanding of statistics and its application to data science and machine learning.
Knowledge of software development, machine learning systems, and technology infrastructure.
Strong verbal and written communication skills.
Strong interpersonal and collaboration skills.
Demonstrated creativity and flexibility in problem-solving.
Ability to prioritize and execute multiple competing tasks effectively.
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