Student Assistant - data engineering
Then this is the position for you. You will get first-hand experience working with real data to solve real problems.
In our line of work, life isn’t a given - it’s the ultimate goal. When life takes an unexpected turn, our technology and solutions enable caregivers to make informed diagnostic decisions to improve patient care. This is our shared purpose at Radiometer and what unites all +4000 of us - no matter our roles or where in the world we’re located. Creating impactful innovations like ours, doesn’t happen overnight - it requires uncompromising persistency, passion, and a desire to make a difference. Here, you can learn, grow, and chart an uncommonly diverse career.
Radiometer is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.
Do you have a flair for working with data? Are you passionate about enabling data-based decision-making through innovative data analytics, leading to improved product quality and higher production yield? Then this is the position for you. You will get first-hand experience working with real data to solve real problems.
Your primary responsibility will be to support many brilliant specialists with the data, and in many cases analyses, that they need. Data can be stored in many different places and formats which will require you to use, and often expand and improve, our current extraction and transformation toolbox.
Some tasks will be ad-hoc, while others will be more regular, well-suited for automation which you will implement and maintain. There are also larger more complex software projects, which you could contribute to.
- MSc student, or soon to be, with at least 2 years left of your degree.
- Dedicated and proactive.
- Strong python skills and experience with the Pandas package or similar.
- Software development and DevOps, Azure, experience is an advantage.
- Experience with SQL, Git, Matlab, Excel (VBA) and/or SAS JMP (JSL) is a big plus but not required.
We are a cross functional team working across several areas, from data support, cost reduction to complaint handling. We help the rest of the organization connecting production data to internal quality metrics and customer experience. Providing valuable insights to improve quality, yield and cost.
We continuously assess candidates and invite them for interviews, so please don’t hesitate to write and send in the application. We encourage you to apply before end of business on 12th of June 2023. If you have questions, feel free to contact R&D Specialist Peter Larsen, firstname.lastname@example.org, or Sr. Manager Claudia Caviglia, email@example.com. We look forward to seeing your application.
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