Big Data and innovation are closely linked. Nobody knows it better than you as expert and computational scientist. Are you looking for a challenging position in the biotechnology industry? Do you want to combine your expertise with scientific insights and responsibility?

Computational Scientist (m/f) plant Innovation center

Location: Gent, full time

What will you do as Computational Scientist?

1. Participate to the development and leveraging of the Computational Life Sciences platform (from data management to data analysis) for our plant breeding & research activities.
2. Propose and implement novel analysis strategies adapted to breeders & researchers needs. Develop or adapt specific tools necessary to the treatment and analysis of the different project data.
3. Ensure the support of the users by diffusing regular information on the computational analysis novelties, by training them when necessary to the different tools available on the CLS platform.
4. Ensure the compliance with all existing safety standards in the area of responsibility taking into account laws, regulations and directives and evaluate potential risks of the research activities.
5. Participate in external scientific cooperation(s) on specific field.
6. Report progress in relation to critical milestones to Program Leaders and End-users.

For whom are we looking ?

• Applicants should hold a Ph.D. or Master's degree in a relevant field of Computational Biology / Bioinformatics with at least 3 years of successful experience in bioinformatics/biostatistics.
• The position requests experience with phenotyping & breeding. Additional knowledge in bioanalysis (sequence analysis, genetic mapping, genome annotation, comparative genomics and systems biology) would be a plus.
• Demonstrated knowledge with programming language(s) typically used for bioinformatics applications (e.g. Python, Perl, etc.) and statistical/mathematical packages such as R. Additional experience in programmatic database usage and heterogeneous data integration would be advantageous.
• We are looking for a highly motivated candidate with strong interpersonal, organizational, technical, leadership and communication skills and an ability to work in cross-functional team settings in a highly innovating research environment.
• You are proficient in English.

We offer

We offer a competitive salary with benefits package in an innovative and international environment. Our teams are amongst the best in the industry. Our international and interdisciplinary work environment offers a range of possibilities to motivated, qualified people with excellent interpersonal and organizational skills. Furthermore, at Bayer you’ll find:

• teamwork,
• entrepreneurship,
• drive,
• a passion to learn and to share knowledge,
• respect for sustainable development and integrity

About the Bayer biotechnology Innovation center

The plant biotechnology Innovation center of Bayer in Gent is part of Bayer CropScience NV in Diegem. The Gent site now has 350 employees and is the most important research and development center of the Seeds division of the Bayer group. Bayer CropScience is a leading international player in the research, development and marketing of agricultural and vegetable seeds with added value traits. The innovation and product development in Gent is focused on agricultural crops such as oilseed rape, cotton, rice and wheat. The Seeds division has more than 2700 employees worldwide. The headquarters of Bayer CropScience are in Monheim, Germany. The company has more than 20.700 employees in more than 120 countries. In the Gent Innovation center, the innovation and commercialization processes of improved plant varieties are being streamlined by integrating plant biotech research and global business support functions – such as legal, intellectual property, quality analysis & control and regulatory.

Interested?

If you are interested in this position, upload your English CV along with a letter of motivation via the link below.
https://bayer.redirect.your-jobresponse.com/C/39514/V823/apply

Agency calls are not appreciated.

Keywords: Scientific computing, Scientific computation, Computational science, Data analysis, Computational biologist.