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Advanced Data Science Leader

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District of Belconnen, Australia beBeeDataScientist Full time $168,000 - $201,600
Lead Data Scientist in Advanced Data Science

Cochlear is dedicated to helping people with hearing loss experience a world full of sound.

As a Lead Data Scientist, you will lead the development and integration of data science capabilities across R&D, guiding the development of data strategies, mentoring a growing team of data scientists, and driving key cross-functional initiatives that enhance our product ecosystem.

This role is crucial in delivering next-generation AI-enabled tools to improve hearing outcomes, surgical guidance, and audiologist support.

  • Responsibilities include:
  • Leading and mentoring a cross-functional community of R&D data scientists through a technical guild
  • Driving the development and implementation of AI-enabled features across medical products and services
  • Ensuring compliance with Good Machine Learning Practices (GMLP) and relevant AI regulations in a regulated medical device environment
  • Shaping our data science strategy in alignment with product and research innovation roadmaps
  • Collaborating with internal and external partners to build shared data lake infrastructures for research and product use
  • Supporting key research partnerships and participating in data-rich innovation projects
  • Acting as a technical expert and contributor to select R&D initiatives in surgical algorithms, hearing outcomes, or rehabilitation tools
  • Coordinating cross-functional data infrastructure projects across IT, Quality, Clinical, and Marketing teams

Our ideal candidate has over 5 years of experience in data science in the Healthcare industry, preferably within medical devices for chronic disease, with proven research credentials. They should have technical expertise in machine learning, statistical methods, and data pipeline architecture.

The ability to demonstrate strong planning and execution abilities in complex, multi-stakeholder environments, excellent communication skills, and leadership skills both as a manager and influencer across functional boundaries are also essential.

We value diversity and welcome unique contributions, perspectives, experiences, and backgrounds of our employees and aim to build an inclusive culture that celebrates and leverages these differences.

Key Requirements:
  • Over 5 years of experience in data science in the Healthcare industry
  • Proven research credentials
  • Technical expertise in machine learning, statistical methods, and data pipeline architecture
  • Strong planning and execution abilities in complex environments
  • Excellent communication and leadership skills
Benefits:
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Recognition and reward for outstanding performance