DevOps engineer/developer

 
Published
WorkplaceGent, Flemish Region, Belgium
Category
Position
Occupation rate
100%

We are the world’s leading chemical company because we offer intelligent solutions for our customers and for a sustainable future. We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to advance. Not only your performance but also your personality matters to us, without regard of gender, age, origin, sexual orientation, disability or belief. At BASF, careers develop from opportunities.

Agriculture plays a fundamental role in fulfilling many of humanity’s basic needs: food, feed, energy. To support growers and those who take care of our environment, BASF develops innovative solutions for farming, pest control and landscape management - so that we can effectively contribute to improving people’s lives and business’ demands. Come join us on our journey to create solutions for sustainable agriculture at the Innovation Center of BASF Belgium Coordination Center CommV in Gent, Belgium.

At BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

Your Tasks

The purpose of the role is to support operating the R&D Informatics data analysis platform and to provide expert support for data scientists, researchers and biometricians across Global R&D functions. The position will also contribute to the optimization of data analysis processes to enable and enhance users to translate data into actionable know-how.

What you can expect

  • You will assist our data science community in optimally using the data analysis platform and its edge applications like R-Studio and JupyterHub. You will gather requirements and build solutions.
  • You will provide support to our data scientists in optimizing Python and/or R code, fixing CI/CD pipelines, move analysis pipelines to containers etc.
  • Additionally, you will assist in optimizing the integration of data analysis platform components with the entire application landscape.
  • You will advise teams in the planning, designing and utilization of the data analysis platform, both on-prem as in the cloud.
  • You will provide guidance for coding standards and methodologies for specific domain specific programming languages like Python and R.
  • You will write user and expert documentation.
  • You will mentor and train end users.

Requirements

  • You have a bachelor or master’s degree in information technology preferably or equivalent with 3 years of relevant experience in Life Sciences industry.
  • You have at least 3 years coding experience with Python or R.
  • You have demonstrated experience working with Linux operating system (Redhat, CentOS,...).
  • Furthermore, you have experience with continuous integration and delivery solutions (e.g. Bitbucket, Bamboo).
  • You are familiar with configuration management environments (Puppet, GIT and related tools).
  • You have knowledge of high performance computing.
  • Experience with data science applications in biotech like JupyterHub, R-Studio, CLC, Geneious is a plus.
  • You are creative and have an innovative mindset.
  • You are a problem solver, a quick learner and have demonstrated project manager skills.
  • You are a strong communicator. Our business language is English.
  • You are a team player with strong interpersonal skills and experience in working in a multicultural environment.

We offer

  • Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
  • Competitive compensation including attractive benefits as well as excellent career opportunities in an international company.

Contact and Address

Interested

You can apply via the Apply button.

If you have any questions about the application process or the job, please contact:
Nele (Talent acquisition)
Phone: +49 30 2005-58363

Web

In your application, please refer to myScience.de and reference JobID 161273.

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