BASF Manager Biostatistics - Machine Learning (m/f) in Ludwigshafen, Germany
Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
Support of all employees by using different measures to ensure the balance of professional and private life.
Competitive compensation including attractive benefits as well as excellent career opportunities in an international company.
DepartmentDescriptionLudwigshafen is the world's largest integrated chemical complex and home to BASF Group headquarters. Located in the heart of Europe's Rhine-Neckar metropolitan region, you will find this to be an attractive place for both work and play.
Learn more about BASF SE at http://on.basf.com/HeadquartersProjectDescriptionManager Biostatistics - Machine Learning (m/f)RequirementDescription
During your degree in Applied Statistics / Data Sciences or Bioinformatics you have gained experience in the analysis and modelling of complex biological data.
In addition, you have a solid knowledge of machine learning and the application of standard statistical techniques including linear modelling.
Excellent oral and written communication skills in English and preferably German are your means to convey your expertise to our customers.
In addition to your professional skills, your distinct entrepreneurial and team spirit is persuading.
TaskDescriptionAs part of an enthusiastic global team of experts within the unit Digitalization in R&D, you will provide quantitative decision support to our life sciences research and development activities.
In detail, your tasks will range from the analysis of experimental data to the development of machine learning algorithms for the classification of diverse research data.
You will provide guidance and advice to our research chemists, biologists and agronomists on the use and implementation of modern applied statistics including machine learning into their workflows.
You will play a significant role in managing projects that drive innovative digital solutions that allow scientists to plan experiments, explore and visualise their data most effectively.
ExternalCodeEN56041323ONLE1VocationalEducationDurationVocationalEducationBeginTemplate ID0022External Reference Code_65EN56041323JS1External Reference Code_64EN56041323BFA1