Senior Data Scientist – AI

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October 31

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Heidi Health

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Artificial Intelligence • Healthcare Insurance • Productivity

Heidi Health is an AI-powered medical scribe platform designed for clinicians in various healthcare settings. It helps decrease the time spent on administrative tasks like note-taking, insurance processing, and result finding, thereby allowing clinicians to focus more on patient care. The platform supports multiple types of healthcare professionals including psychologists, dietitians, vets, medical doctors, nurses, and others, leveraging artificial intelligence to enhance efficiency and accuracy in clinical documentation. The goal is to provide an intuitive, efficient tool that integrates seamlessly with healthcare workflows to improve the quality of care and clinician satisfaction. It emphasizes privacy and security, featuring hospital-grade standards to protect sensitive health information.

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

⚡ Productivity

📋 Description

• Collaborate with engineers and product teams to design, implement, and analyze online A/B tests to measure product impact. • Design dashboards, run analyses, and provide clear reporting to inform product and research decisions. • Gain hands-on experience with large language models by applying fine-tuning techniques (e.g., supervised fine-tuning, parameter-efficient methods) to improve model performance in healthcare-specific tasks. • Support the engineering team in deploying models into production environments, ensuring scalability, reliability, and integration with our clinical workflows. • Explore approaches for adapting models to specific user needs, such as personalization, domain adaptation, and context-aware inference to enhance clinician productivity and patient care. • Partner with data, engineering, product, and medical knowledge teams to align data and model work with Heidi’s mission in healthcare AI. • Stay up-to-date with emerging AI and ML research, and grow your expertise from data-focused tasks to advanced model science.

🎯 Requirements

• A background as a Data Scientist (or similar role) with strong skills in Python, SQL, and modern data tooling. • Demonstrated experience in data analysis, experimentation (A/B testing), and building dashboards or reporting systems. • Solid programming and software engineering skills: ability to write clean, efficient, and maintainable code that can scale into production systems. • Good understanding of large language models (LLMs) and transformer architectures—you know how they work under the hood and are motivated to deepen this knowledge further. • An interest and motivation to deepen technical expertise in AI/ML—particularly in areas like model fine-tuning, deployment, and personalization. • A solid foundation in statistics, probability, and data-driven decision-making. • Strong problem-solving skills with the ability to move from vague questions to well-structured experiments and insights. • Curiosity, adaptability, and a growth mindset: you’re eager to bridge the gap between data science and AI engineering. • Bonus: • Experience with machine learning workflows (e.g., training or evaluating models, working with ML pipelines). • Familiarity with deep learning frameworks (PyTorch or TensorFlow). • Prior exposure to healthcare data or applications.

🏖️ Benefits

• Flexible hybrid working environment, with 3 days in the office. • Additional paid day off for your birthday and wellness days • Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc. • A generous personal development budget of $500 per annum • Learn from some of the best engineers and creatives, joining a diverse team • Become an owner, with shares (equity) in the company, if Heidi wins, we all win • The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups • If you have an impact quickly, the opportunity to fast track your startup career!