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Opyl is hiring!

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Company Description

TrialKey is the global leader in AI-driven biostatistical validation for clinical trial designs, offering a comprehensive suite of global trial design solutions. With market-leading accuracy in forecasting trial completion, TrialKey transforms clinical research by providing data-backed recommendations and critical insights for strategic planning.


Role Description

This is a role for a Data Scientist/Data Wrangler at TrialKey that can be based anywhere in the world but must work in Sydney hours. The Data Wrangler will be responsible for managing databases, training on data processes, and ensuring effective communication within the team. The role involves wrangling and analyzing extensive datasets from clinical trials to provide valuable insights for decision-making. You will join calls with Clinical Research Organisation's and/or Pharmaceutical clients to explain the insights and graphs shown in reports for their clinical trials.


What you would like:

We are a post revenue start up that is expanding our data team, you will get to work with some of the industries best data scientists to solve some of the most interesting clinical trial and medical problems

You will love data wranglering, Data Collection, Data Cleaning, Data Integration, Data Transformation, Data Analysis Support. Data will be your passion!

You will have had some experience in the medical field and/or clinical trials

Programming will be your passion, especially in R and Python

Machine learning and AI will be an area of interest to you

Enjoy data visualisation of all types

Data engineering and building pipelines, being a production data engineering will be exciting to you!


What you won't would like

We are at the leading edge in tech, so there will be lots of experimentation

As an smaller company the process are still being developed, you will have to work in a lot of uncertainly

There isnt a lot of existing knowledge in our area of research, you will have to build many things from first principals.



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