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Data Scientist - Flexible Location / Remote

JDRF Australia
  • Full-time preferred
  • Location flexible (Australia or US west coast preferred)

Type 1 diabetes (T1D) is spreading rapidly, cannot be cured and has already become one of the most dangerous chronic conditions on the planet. That’s the bad news. The good news is that it can be treated effectively and economically, so long as we put the right information and tools in the right hands.

Our global team is a new, startup-like group focused on doing exactly that - winning back day after day of life from the clutches of T1D by equipping advocates and policy-makers around the world with the best information. It’s a part of JDRF International, a T1D-focused non-profit and one of the largest funders of T1D research.

We’re looking for a data scientist to join us. Why?

Predictive modelling. We aim to simulate the entire world of T1D - how many people have it, how well they live with it, how that’s changing over time, and what could be done better. So far we’ve built a mathematical model that does the first of these three things, and it’s a pretty good start. But there’s a lot still to do!

Sounding smart yet simple. We’re doing imperfect modelling with imperfect data, because it’s better than what we had before. So one of the things we need to do is educate others about what we’ve done, its limits, and what’s next.

Bespoke analysis. How many more people should be alive today in Bengaluru? How dangerous is T1D compared with HIV in Nigeria? How could we save the most lives with $100 million? The modelling we’re doing here helps our allies answer burning questions and take action.

Your typical month probably includes talking to smart and powerful people about things we might need to fix, making refinements to the core model, running specific analyses through it for a diabetes group working on a billion-dollar policy submission and sharing song recommendations on the team chat when the Spotify algorithm gets a bit samey.

What we’re looking for

  • Familiarity with R (that’s what we built our models in)
  • Familiarity with predictive modelling
  • D3 would be a plus (that’s what we built the site in)
  • Statistics training (Masters or PhD) with 2-3 years experience
  • Epidemiology or healthcare economics background a plus
  • Entrepreneurial and collaborative style, self-starter that requires little supervision
  • Comfort working remotely and across multiple time zones (we’re a global team)
  • Limited travel may be required

What we’re like

  • Social startup incubated by JDRF (a medical research charity)
  • Global team, but most of us are in US and Australia

How to apply

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