Research Scientist: Bioinformatics & Machine Learning - Development of Genome Editing Tools (f/m/d)

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Research Scientist: Bioinformatics & Machine Learning - Development of Genome Editing Tools (f/m/d)

The Applied Mathematics group within Bayer is looking for a Research Scientist (f/m/d) with expertise in machine learning and bioinformatics to join Bayer Engineering & Technology in Leverkusen Germany. The successful  applicant for this two-year limited position will be part of an interdisciplinary and cross-divisional team within the R&D organization and will contribute to the development of CRISPR based gene editing tools for plants and mammalian cells.

YOUR TASKS AND RESPONSIBILITIES

• You will be responsible for all computational aspects within a collaborative international project that aims to develop gene editing systems
• You work on the interface of molecular biology cell culture and high throughput omics as well as data science and bioinformatic and you develop models that bridge both worlds
• Your activities will include mining in-house metagenomic databases for candidate gene resources
• You are able to develop custom NGS-analysis workflows to characterize and quantify genome editing outcomes
• Multi omics data sets shall be used to understand deconvolute and predict genome location effects in mammalian cell lines and plants
• You design compose and deliver presentations and publications
• You will be part of an international and interdisciplinary cross-divisional team comprising cell and molecular biologists mathematicians and machine learning experts

WHO YOU ARE

• You have successfully completed a PhD in natural science or computer science with a strong background in bioinformatics and experience in machine learning and/or data driven modelling
• You have extensive experience in developing data science approaches in the context of omics technologies (e.g. genome sequencing transcriptomics epigenetics)
• You are familiar with state-of-the-art of bioinformatics and data science and have a strong willingness to further develop expertise in these areas
• You are able to develop custom NGS-analysis workflows to characterize and quantify genome editing outcomes
• Willingness and curiosity to learn experimental set-ups novel mathematical approaches as well as to dig into Pharma- and Crop Science-R&D
• You are able to  work in interdisciplinary teams with excellent interpersonal and communication skills
• High level of English communication skills in verbal and written form

We use the flexibly of hybrid working. 

WHAT WE OFFER

Our benefits package is flexible appreciative and tailored to your lifestyle because: What matters to you matters to us! 
 

• We ensure your financial stability through a competitive compensation package consisting of an attractive base pay and our annual bonus. In addition managers can recognize special contributions by granting an individual performance award or top performance award.
• Whether it’s hybrid work models or part-time arrangements: Whenever it is possible you will have the flexibility to work how when and where it is best for you.
• Your family is a top priority. We offer loving company daycare centers at multiple locations support in finding childcare time off for the care of elderly or dependent family members summer camps for children and much more.
• We support your professional growth by providing access to learning and development opportunities training programs through the Bayer Learning Academy development dialogues as well as coaching and mentoring programs.
• We promote health awareness and opportunities for selfcare through various measures such as free health checks with the company doctor and our health platform #machfit.
• We embrace diversity by providing an inclusive work environment in which you are welcomed supported and encouraged to bring your whole self to work.

ADDITIONAL INFORMATION

This position is limited to two years.

Be You. Be Bayer.

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YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health feeding growing populations and slowing the rate of climate change. You have a voice ideas and perspectives and we want to hear them. Who are we? To learn more about Engineering & Technology go to our E&T LinkedIn Life Page. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals regardless of race national origin gender age physical characteristics social origin disability union membership religion family status pregnancy sexual orientation gender identity gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location:               Germany : North Rhine Westfalia : Leverkusen

Division:                Enabling Functions

Reference Code:  801245