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9 dagen geleden geplaatst • 3x bekeken

Internship Data Science / Modeler

Leiden • RGN-hoofdkantoor Randstad
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Vacaturedetails

  • € 500 p/m
  • Fulltime
  • HBO of hoger
  • Stage
  • Junior

Vacatureomschrijving

We are looking for an Master student who will work with us. Are you available for 6 months and are you living in NL? Then we are looking forward to hear from you. See below for more info about this internship with a Johnson & Johnson company.

what we offer
  • 500 euro gross per month on a FT base.
  • Grow and learn within an international environment
  • Johnson & Johnson company
  • Internship to improve your skills
who are you

This internship is open to BSc and MSc students who are enrolled in a Computer Science, Data Science, AI, Engineering/Beta Science degree with strong focus on statistics/modeling or equivalent and are looking to do an internship as a part of their degree.

We expect you to work with our Johnson & Johnson credo to work together with and to support each other. You are capable of managing your own work within our leadership imperatives “lead, shape, connect & deliver”.

what will you do

The Intern will utilize skills in data sciences to construct MVA models and assist our operations department in rolling out these models which aim to avoid process excursions and enable process optimization. This project will include exposure to different parts of our organization and the interim will be responsible for delivering conclusions and recommendations supported by model results. Because this is a collaborative effort, change management and collaboration skills will be required.

You will join a dedicated global TO team of highly skilled data people. The goal of our global team is to deliver analytical capabilities to the business, fueled by our data assets and cutting-edge technologies. The team has data analysts, scientists, and engineers working closely together with all our stakeholders. Our members contribute to various analytical projects and support our users with useful insights and the business with a comprehensive analysis.

  • Using Data Science and build Predictive/ML models analysis and suggest potential opportunities for gaps and improvements.
  • Apply machine learning algorithms to improve the sensitivity of the contamination models (e.g.neural network approach. Random Forest etc.) in order to create more sensitivity.
  • Update and improve validation script for Prediction (Advised Future) models improve accuracy of forecast models
  • Understand how to best scale different process variables in a multivariate model. Write model or script to automatically optimize the scale/modifier variables up or down relative to their weight and replace a lot of manual work.
  • Practice and develop technical skills which may include SQL, Python, R, etc.
where will you work

Janssen Pharmaceuticals Companies of Johnson & Johnson are dedicated to addressing and solving the most important unmet medical needs of our time. Our products portfolio is comprised of pharmaceuticals, biologics and combination products.

Leiden site Technical Operations (TO) is part of the global TO organization. We manage the technology platform strategy within Leiden as well as across the other Large Molecule sites.

At TO within Janssen Biologics we are responsible for validation and standardization of
equipment for New Product Introduction and process validation activities for Life Cycle
Management (LCM). Moreover, we lead and support critical projects in the areas of Integrated Quality & Real-Time Release (IQ & RTR), Supply Chain Analytics (SCAN), Process Intensification and modularization. Thereby, enabling the Leiden Digital & Technology 2030 vision.

job application

If you are interested in the vacancy please upload the following:

- Motivation letter (which includes your content interest, your requirements from school and what your development items are)
- your CV

PS. we are looking for students that are enrolled with the University and are living in the Netherlands.

Uiteraard staat deze vacature open voor iedereen die zich hierin herkent.

Aanbod

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