Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence)

Monash • Clayton, NC

13d • Hybrid

About The Position

This position is for a Research Fellow, Data Scientist to join the Professor Stamatakis research program. The role will contribute to the advancement of digital health and data science capability within an internationally connected research program, with a focus on wearables, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and support data-sharing IT infrastructure, while contributing to research, publications, grant applications and collaborations with leading academic and external partners. The position will develop and validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing, documentation, quality assurance and partner onboarding. The role will apply machine learning and generative AI, including LLM-based conversational AI, and translate technical capabilities through workshops, stakeholder engagement and research outputs.

Requirements

• Doctoral qualification in data science, computer science, biomedical engineering, statistics or a related quantitative discipline, or equivalent qualifications or research experience.
• Demonstrated skills in statistical analysis.
• Demonstrated skills in research publication.
• Demonstrated skills in proposal preparation.
• Knowledge and experience in machine learning.
• Knowledge and experience in generative AI or LLM-based systems.
• Knowledge and experience in cloud computing.
• Knowledge and experience in the design and validation of algorithms for high-volume quantitative or sensor-derived data.
• Valid and current Australian work rights.

Nice To Haves

• Experience with wearable data.
• Experience with health or population health research.
• Experience with federated data environments.
• Experience with data security and governance.
• Strong communication skills.
• Strong organisational skills.
• Strong collaborative skills.

Responsibilities

• Contribute to the advancement of digital health and data science capability.
• Focus on wearables, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research.
• Contribute to the development of an AI-based behaviour change tool.
• Support data-sharing IT infrastructure.
• Contribute to research, publications, grant applications and collaborations with leading academic and external partners.
• Develop and validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research.
• Contribute to the ProPASS federated data analysis platform, including testing, documentation, quality assurance and partner onboarding.
• Apply machine learning and generative AI, including LLM-based conversational AI.
• Translate technical capabilities through workshops, stakeholder engagement and research outputs.

Benefits

• Flexible and hybrid working arrangements.
• Access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree