Data Science Specialist

2 weeks ago

Sydney, New South Wales, Australia beBeeArtificialintelligence Full time $120,000 - $180,000
AI Development Scientist

We are at the forefront of pioneering innovative AI solutions to enhance diagnostic accuracy and improve healthcare outcomes. Our team applies cutting-edge methodologies in artificial intelligence to develop groundbreaking tools for pathologists.

Pathology faces a significant skills shortage, with the number of US pathologists decreasing by 18% between 2007 and 2017 despite an increase in workload. Building comprehensive AI solutions will help scale diagnostic care across the globe.

We unlock digital pathology to provide pathologists with a second set of eyes, using state-of-the-art AI technology to deliver efficient and accurate diagnosis support.

Your Role
  • Data Science Expertise: Develop and validate software as medical device (SAMD) artificial intelligence (AI) products in pathology.
  • Biostatistics Knowledge: Combine data science and biostatistics to apply clinical and therapy area knowledge to design, analysis, and validation of AI models.
  • Cross-Functional Collaboration: Collaborate with clinicians, researchers, and product teams to apply therapeutic area expertise to AI and data analysis, contributing to product and model development.

Key Responsibilities:

  • Model Validation: Develop, validate, and deploy standardised tools to assess the quality, accuracy, robustness, and efficacy of AI models, ensuring alignment with regulatory guidelines and industry best practices.
  • Clinical Knowledge Application: Apply clinical knowledge to AI and data analysis to contribute to product and model development.
  • BioStatistics for Validation: Conduct statistical analyses to evaluate the performance of AI models in clinical settings.
  • Cross-Functional Collaboration: Work with cross-functional teams including engineers, clinicians, researchers, and product managers to ensure AI models are evaluated transparently throughout their development lifecycle.
Requirements
  • A Master's degree or PhD in data science, statistics, biostatistics, bioinformatics, computational biology, or a related field.
  • Proven experience working as a data scientist or biostatistician, with a focus on clinical data, healthcare, or AI.
  • Expertise in Python or R, with strong programming skills for data analysis, model evaluation, and automation of analysis workflows.

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