Working Student (m/f/d) at Data Analysis

Be there from the start
Our newly founded Artificial Intelligence (AI) unit is well-networked with our Resarch & Development locations across the world. In our base in Berlin, we have an open and innovative work culture – this gives us a lot of freedom for visionary ideas. Our task is called “Innovation with data and AI” and aims at making the medical devices from Fresenius Medica Care even better through ideation, product design, implementation and even business model innovation. Here, we focus on the concept of intelligent dialysis machines and will expand to cover the whole medical device area in the long term. Based on extensive company experience and a strong track record in analytics, we now want to break new ground with big steps - and as our working student you can be part of it!

  • While supporting our team with the analysis of alarm patterns on our dialysis machines you can gain insights about patient and machine characteristics, clinic workflows, etc.
  • You will actively derive actions from these insights in close collaboration with a cross-functional team in order to reduce alarms and to provide patients with a quieter therapy
  • Moreover, you will support us in creating an “alarms dashboard” to visualise machine data and share our results to various stakeholders across the organisation (nurses, doctors, clinic management, R&D, …)
  • Of course, you will also actively participate in other data solutions related projects and support our team in administrative tasks

Requirements — mandatory:

  • Quantitive background in form of current full-time studies in computer science, statistics or similar
  • Solid basics in statistics (distributions, hypothesis tests, correlation, …)
  • Very good English skills (written and spoken)
  • Advanced skills in Phyton, meaning you know how to wrangle, analyse and visualise data with Python
  • You take pride in your work and in delivering the highest quality results/recommendations
  • Availability of approx. 20 hrs/week

Requirements — nice to have:

  • First experience with machine learning
  • First experience with plotly/dash
  • Git, unit testing and using cli is not new to you

Start: as of now
Duration: 12 months, with option to extend
Working time: approx. 20 hours per week
Location: Berlin

Current information on the application process at Fresenius: https://karriere.fresenius.de/en/current-information-application-process-fresenius

  • Karrierelevel:
  • Studierende
  • Einsatzbereich:
  • Projektmanagement / Entwicklung / Konstruktion / Medizintechnik / Forschung / Klinische Studien / Statistik / Informationstechnologie
  • Arbeitsverhältnis:
  • Werkstudententätigkeit / Teilzeit
  • Unternehmensbereich:
  • Fresenius Medical Care
  • Standort:
  • Berlin / Berlin-Mitte
  • Bewerbungsfrist:
  • none - we look forward to your application
Lisa-Marie Weber
Fresenius SE & Co. KGaA
Bad Homburg
Ref. number 43326

+49 6172 608-94085

Offen für Individualität und Vielfalt

Fresenius begrüßt Bewerbungen aller Menschen, unabhängig von Geschlecht, Alter, Herkunft, Nationalität, Religion, Behinderung, sexueller Identität und Orientierung oder sonstigen Merkmalen.

Sämtliche Personenbezeichnungen in dieser Stellenausschreibung gelten für alle Geschlechter gleichermaßen (männlich, weiblich, divers).

Karriere mit Sinn

Mehr als 300.000 Menschen auf allen Kontinenten arbeiten bei Fresenius daran, immer bessere Medizin für immer mehr Menschen anzubieten. Unsere eigenständigen Unternehmens­bereiche Fresenius Medical Care, Fresenius Kabi, Fresenius Helios und Fresenius Vamed bieten ein breites Spektrum an Produkten und Dienstleistungen im Gesundheitssektor. Bei uns haben Sie die Chance, mit Ihrer Karriere einen Unterschied zu machen – und Teil unserer beeindruckenden Wachstumsgeschichte zu werden.

Working Student (m/f/d) at Data Analysis

Be there from the start
Our newly founded Artificial Intelligence (AI) unit is well-networked with our Resarch & Development locations across the world. In our base in Berlin, we have an open and innovative work culture – this gives us a lot of freedom for visionary ideas. Our task is called “Innovation with data and AI” and aims at making the medical devices from Fresenius Medica Care even better through ideation, product design, implementation and even business model innovation. Here, we focus on the concept of intelligent dialysis machines and will expand to cover the whole medical device area in the long term. Based on extensive company experience and a strong track record in analytics, we now want to break new ground with big steps - and as our working student you can be part of it!

Your Challenge in Detail

  • While supporting our team with the analysis of alarm patterns on our dialysis machines you can gain insights about patient and machine characteristics, clinic workflows, etc.
  • You will actively derive actions from these insights in close collaboration with a cross-functional team in order to reduce alarms and to provide patients with a quieter therapy
  • Moreover, you will support us in creating an “alarms dashboard” to visualise machine data and share our results to various stakeholders across the organisation (nurses, doctors, clinic management, R&D, …)
  • Of course, you will also actively participate in other data solutions related projects and support our team in administrative tasks

Your Competence is in Demand

Requirements — mandatory:

  • Quantitive background in form of current full-time studies in computer science, statistics or similar
  • Solid basics in statistics (distributions, hypothesis tests, correlation, …)
  • Very good English skills (written and spoken)
  • Advanced skills in Phyton, meaning you know how to wrangle, analyse and visualise data with Python
  • You take pride in your work and in delivering the highest quality results/recommendations
  • Availability of approx. 20 hrs/week

Requirements — nice to have:

  • First experience with machine learning
  • First experience with plotly/dash
  • Git, unit testing and using cli is not new to you

Start: as of now
Duration: 12 months, with option to extend
Working time: approx. 20 hours per week
Location: Berlin

Current information on the application process at Fresenius: https://karriere.fresenius.de/en/current-information-application-process-fresenius

Ihr Kontakt

Lisa-Marie Weber
Fresenius SE & Co. KGaA
Bad Homburg
Ref. number 43326

+49 6172 608-94085

Karrierelevel
Studierende
Einsatzbereich
Projektmanagement / Entwicklung / Konstruktion / Medizintechnik / Forschung / Klinische Studien / Statistik / Informationstechnologie
Arbeitsverhältnis
Werkstudententätigkeit / Teilzeit
Unternehmensbereich
Fresenius Medical Care
Standort
Berlin / Berlin-Mitte
Bewerbungsfrist
none - we look forward to your application

Offen für Individualität und Vielfalt

Fresenius begrüßt Bewerbungen aller Menschen, unabhängig von Geschlecht, Alter, Herkunft, Nationalität, Religion, Behinderung, sexueller Identität und Orientierung oder sonstigen Merkmalen.

Sämtliche Personenbezeichnungen in dieser Stellenausschreibung gelten für alle Geschlechter gleichermaßen (männlich, weiblich, divers).

Karriere mit Sinn

Mehr als 300.000 Menschen auf allen Kontinenten arbeiten bei Fresenius daran, immer bessere Medizin für immer mehr Menschen anzubieten. Unsere eigenständigen Unternehmens­bereiche Fresenius Medical Care, Fresenius Kabi, Fresenius Helios und Fresenius Vamed bieten ein breites Spektrum an Produkten und Dienstleistungen im Gesundheitssektor. Bei uns haben Sie die Chance, mit Ihrer Karriere einen Unterschied zu machen – und Teil unserer beeindruckenden Wachstumsgeschichte zu werden.

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