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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.


Data Scientist- Genomics 


Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.


For our newly established IT Hub, we are looking for:


Data Scientist - Genomics


Team/Project Description:


Our genotyping laboratories at Bayer Crop Science produce millions of samples per year. The IT Decision Science Predictive Pipeline Genomics builds and deploys analytical models to leverage this data to improve important business decisions throughout our production pipeline. Whether this process is optimizing quality in the laboratory or automating decisions for our products in the field, our team delivers generalized analytical models that apply across multiple business functions.



Position Description:


A Data Scientist is responsible for developing and deploying analytical models on data and processes. They collaborate with digital product teams to deliver insights to business stakeholders, drive automation of processes, and to help improve business decisions. This position will drive deployment of a variety of models and workflows using cloud-based model orchestration and data virtualization solutions. The role will require exploration and adoption of new technologies made available by IT engineering teams. It will require close partnerships with other internal teams to shape the solutions as they are developed and to assist in enabling and migrating production workflows.



Required Skills:


  • M.S in Computer Science, Computer Engineering or related field (Statistics, Computational Biology, etc.) with 3+ years experience
  • Proficiency in Python and/or R programming languages
  • Experience with model management and model orchestration in cloud computing environments such as AWS or GCP
  • Experience with containerized deployment methods (e.g. Docker)
  • Proficiency in consuming REST based API and/or gRPC framework output
  • Proficiency in quantitative modeling techniques such as statistics, machine learning, optimization, and simulation
  • Experience working with models that require large datasets and are computationally intensive
  • Experience with source control methodologies (e.g. Git)
  • Strong interpersonal skills and ability to collaborate with colleagues in business and IT
  • Ability to take initiative, drive work independently, and lead technical projects with partners from a variety of scientific and business backgrounds
  • Strong communication including the ability to make presentations and deliver complex quantitative analyses in a clear, concise and manner



Desired Skills:


  • Experience with Apache Airflow, Kubernetes, SageMaker, SQL, MapReduce
  • Proficiency in Java and/or other modern programming languages
  • Experience applying analytical techniques to genomic data or another biological domain (e.g. genetics, molecular biology, plant breeding)
  • Proficiency in mathematical modeling including comprehension of theory, modeling/identification strategies and limitations/pitfall



We Offer:


  • A flexible hybrid work model 
  • Career development, 360° Feedback & Mentoring programme
  • Wide access to professional development tools, trainings, & conferences
  • Competitive salary, annual bonus & top performers awards
  • VIP Medical Care Package (including Dental & Mental health) 
  • Pension plan
  • Holiday allowance (“Wczasy pod gruszą”)
  • Life & Travel Insurance 
  • Co-financed sport card with unlimited usage 
  • Meals Subsidy in Office 
  • Home Office Setup & Maintenance allowance
  • New & exciting open office space coming in Spring ‘22



Our inclusive culture at Bayer:


Bayer is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin color, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.


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.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Location: Poland : Mazowieckie : Warszawa     
Division: Enabling Functions    
Reference Code: 591321     




Poland : Mazowieckie : Warszawa  



Enabling Functions 


Reference Code:


Job Segment: Database, Genetics, Scientific, Medical, Engineer, Engineering, Science, Technology, Healthcare

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