Immediate Start: Data Scientist

Location

Australia - Sydney/Melbourne/remote

Employment Type

Full time

Location Type

Remote

Department

Engineering

Who are Heidi?

Heidi is on a mission to halve the time it takes to deliver world‑class care.

We believe that by 2050, every clinician will practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world.

Built for clinicians, by clinicians, at the core of Heidi is its people. We are an eclectic bunch of inventors, builders, scientists, nurses, doctors, mathematicians, designers, creatives, and high‑agency executors.

We achieve in 6 months what it takes our competitors 4 years to do. In just 12 months, 20 million patient consults were supported by Heidi, and we’re now powering more than 1 million consults every week.

With our most recent $16.6MM round of funding from leading VC firms, we’re geared up to supercharge our ambitious global growth, starting with the US, Canada, UK and Europe - and we need great people like you to get there.

The Role

As a Data Scientist (AI) on Heidi’s Model Team, you’ll sit at the intersection of AI engineering and data science. In the short term, you’ll partner closely with our AI Engineering team to strengthen the foundations of our data pipelines, analytics, experimentation frameworks, and reporting systems.

Over time, this role will evolve into a hands‑on contributor in AI/LLM model work—spanning fine‑tuning, deployment, personalization, and applied research.

This is a unique opportunity for someone who is currently a Data Scientist in Australia or New Zealand, who feels limited by purely analytical challenges and wants to transition into a more technically demanding role that blends engineering rigor with cutting‑edge AI innovation.

You’ll grow with the team, expanding from data‑centric responsibilities into world‑class applied AI science.

What you’ll do:

- Experimentation: Collaborate with engineers and product teams to design, implement, and analyze online A/B tests to measure product impact.

- Analytics & Reporting: Design dashboards, run analyses, and provide clear reporting to inform product and research decisions.

- Model Fine‑Tuning: 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.

- Model Deployment: Support the engineering team in deploying models into production environments, ensuring scalability, reliability, and integration with our clinical workflows.

- Model Personalisation: 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.

- Collaboration: Partner with data, engineering, product, and medical knowledge teams to align data and model work with Heidi’s mission in healthcare AI.

- Continuous Learning: Stay up‑to‑date with emerging AI and ML research, and grow your expertise from data‑focused tasks to advanced model science.

What we will look for:

- 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.

What do we believe in?

- We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.

- We will stop at nothing to improve patient care across the world.

- We design user experiences for joy and ship them fast.

- We make decisions in a flat hierarchy that prioritizes the truth over rank.

- We provide the resources for people to succeed and give them the freedom to do it.

Why you will flourish with us 🚀?

- 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

Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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