Senior Data Scientist

A leading organisation at the forefront of AI-driven healthcare solutions is seeking a Senior Data Scientist to join their technical leadership team. This is an exceptional opportunity for you to play a pivotal role in developing a cloud-based artificial intelligence platform that transforms medical image analysis, directly impacting the diagnosis and treatment of heart disease on a global scale.

A leading organisation at the forefront of AI-driven healthcare solutions is seeking a Senior Data Scientist to join their technical leadership team. This is an exceptional opportunity for you to play a pivotal role in developing a cloud-based artificial intelligence platform that transforms medical image analysis, directly impacting the diagnosis and treatment of heart disease on a global scale. You will be part of a passionate, multi-disciplinary group dedicated to innovation, excellence, and integrity, where your expertise in deep learning and computer vision will drive meaningful advancements in healthcare technology. The position offers the chance to work closely with clinicians, engineers, and designers, ensuring that your contributions are both valued and impactful. With a strong commitment to flexibility in working style and problem-solving approach, this organisation provides an environment where your curiosity and drive for excellence are encouraged. If you are looking for a role that combines technical challenge, research opportunities, and real-world impact within a supportive and collaborative setting, this is the perfect next step for your career.

What you'll do:

As a Senior Data Scientist within this innovative healthcare technology organisation, you will immerse yourself in the research and development of advanced artificial intelligence algorithms that power next-generation medical image analysis platforms. Your day-to-day activities will involve collaborating with cross-functional teams comprising clinicians, engineers, designers, and external partners to bring ideas from conception through deployment. You will be responsible for designing robust deep learning models capable of identifying complex patterns in imaging data while ensuring these solutions meet stringent clinical requirements. Engaging directly with clients will allow you to tailor AI applications to real-world challenges faced by healthcare providers. In addition to hands-on algorithm development, you will contribute thought leadership through publication of research findings and active participation in industry events. Your efforts will help shape best practices within the team while supporting ongoing adoption of new technologies. Success in this role requires not only technical proficiency but also excellent interpersonal skills as you navigate collaborations across disciplines.

• Research, design, and develop sophisticated deep learning and computer vision algorithms aimed at detecting a wide range of medical conditions from both image and textual data.
• Collaborate closely with a diverse team of medical professionals, engineers, and designers to deliver comprehensive products from initial concept through data collection, algorithm exploration, development, testing, validation, and integration into production environments.
• Engage with clients to understand their unique requirements and work together to create AI solutions that address specific clinical needs effectively.
• Stay abreast of the latest developments in deep learning and computer vision by reading relevant publications; implement cutting-edge algorithms from academic literature into practical applications.
• Contribute actively to the scientific community by publishing your own research findings and participating in conferences or meetups related to machine learning and artificial intelligence.
• Participate in long-term research initiatives designed to build excellence in deep learning for imaging data within the organisation.
• Enhance team methodologies by sharing best practices, contributing to toolset improvements, and providing constructive feedback during peer reviews.
• Support the adoption of new technologies by adapting quickly to emerging tools and frameworks relevant to AI-driven healthcare solutions.
• Ensure compliance with applicable regulatory standards when developing algorithms for use in clinical settings.
• Foster positive relationships with partner staff, client representatives, and other stakeholders as required throughout project lifecycles.

What you bring:

To excel as a Senior Data Scientist in this forward-thinking healthcare technology environment, you will bring substantial experience developing advanced machine learning models using state-of-the-art frameworks. Your background should reflect not only technical mastery but also an ability to translate complex analytical concepts into practical solutions that address real-world clinical challenges. A solid foundation in statistics and mathematical modelling is essential alongside proficiency with programming languages commonly used for analytics tasks. Your proven ability to stay current with technological advances ensures that your contributions remain relevant amid rapid industry evolution.

• A postgraduate qualification - preferably a PhD - in Computer Science, Statistics, Mathematics, Operations Research or a related discipline combined with significant relevant experience or equivalent education/training.
• Hands-on experience developing complex machine learning models using modern frameworks such as Python-based libraries (e.g., Keras, TensorFlow).
• Demonstrated expertise applying deep learning techniques for image classification and diagnostic algorithm development using open-source tools like Theano or Caffe.
• Proven track record working with independent software vendors specialising in machine learning or artificial intelligence solutions.
• Comprehensive understanding of statistics, probability theory, data modelling principles as well as software development techniques essential for analytics implementation.
• Experience providing technical consulting or architectural guidance on large-scale projects involving AI/ML deployments.
• Ability to adapt quickly to new technologies while maintaining high standards of quality in solution delivery.
• Proficiency in at least one analytics scripting language such as R or Python for statistical analysis or model building.
• Hold a PhD focused on machine learning or have extensive experience in computer vision applications within healthcare contexts.
• Strong advantage include published research or public speaking engagements related to machine learning; familiarity with engineering tools like CI/CD pipelines (Docker/Hadoop); knowledge of regulatory compliance frameworks such as ISO 13845 or IEC 62304.

What sets this company apart:

This organisation stands out as an industry leader committed to transforming global healthcare through accessible and accurate diagnostic information powered by artificial intelligence. Employees benefit from flexible working opportunities designed to accommodate diverse lifestyles while fostering creativity and productivity. The collaborative atmosphere encourages knowledge sharing across disciplines so that every team member's contribution is recognised as vital to collective success. Ongoing training opportunities ensure continual professional development while exposure to cutting-edge research keeps staff at the forefront of technological advancement. By joining this team you become part of an inclusive network united by the shared goal of improving patient outcomes worldwide through responsible application of AI technology.

Desired Skills and Experience
A leading organisation at the forefront of AI-driven healthcare solutions is seeking a Senior Data Scientist to join their technical leadership team. As a Senior Data Scientist within this innovative healthcare technology organisation, you will immerse yourself in the research and development of advanced artificial intelligence algorithms that power next-generation medical image analysis platforms. Your day-to-day activities will include:

Key Responsibilities:

* Research, design and develop advanced deep learning and computer vision algorithms for medical diagnostics

* Collaborate with clinicians, engineers, and designers to deliver AI solutions from concept to production

* Engage with clients to tailor solutions to clinical needs

* Stay updated on industry advancements and implement cutting-edge techniques

* Publish research and contribute to the scientific community

* Drive lo Drive long-term research initiatives in deep learning for imaging data

* Improve team methodologies and adopt emerging tools and technologies

* Ensure regulatory compliance in algorithm development

* Build strong relationships with stakeholders throughout project lifecycles

To thrive as a Senior Data Scientist in this innovative healthcare technology environment, you'll need strong expertise in developing advanced machine learning models using cutting-edge frameworks. Your skillset should combine technical mastery with the ability to turn complex analytics into practical solutions for real-world clinical challenges. A solid foundation in statistics, mathematical modeling, and proficiency in programming languages for analytics is essential. Experience working on large-scale projects, especially with independent software vendors, will help you navigate complex engagements confidently. Staying ahead of technological advancements ensures your contributions remain impactful in a rapidly evolving industry. Strong interpersonal skills are key for collaborating across multidisciplinary teams, while a commitment to continuous improvement drives both personal and organizational success. Familiarity with regulatory standards for medical device software is highly valued, demonstrating your readiness to operate within compliant frameworks.

What you bring:

* PhD or advanced degree in Computer Science, Statistics, or similar fields.

* Strong experience with ML frameworks like TensorFlow/Keras.

* Deep learning expertise for image classification using tools like Theano/Caffe.

* Solid understanding of statistics, probability, and data modelling principles.

* Proven success in large-scale AI/ML deployments

* Proficiency in Python or R for analytics tasks

* Published research/public speaking on ML topics

* Familiarity with CI/CD pipelines (Docker/Hadoop)

* Knowledge of regulatory standards (ISO 13845/IEC 62304)

Aboriginal and Torres Strait Islander Peoples are encouraged to apply.

To apply please click apply or call Milena Wawrzyniak-Kalyanpur on for a confidential discussion.