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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.

 

Co-Op Intern 

 

YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Co-Op Intern, are to:

 

  • Perform complex simulation, modeling, and implementation of machine learning algorithms, including Natural Language Processing;
  • Collaborate with Corporate IT, vendors, and academia to understand the implications of relevant architectures for data analytics and data integration platforms;
  • Analyze diverse internal and external data sources for the value-adding patient and product information by leveraging complex statistical and predictive models;
  • Design digital strategies to extract and derive insights from unstructured information, including literature, social media, and adverse event source documents;
  • Enable the generation of the novel patient and product insights to advance the safety and well-being of patients and consumers;
  • Ensure principles guide the appropriate and ethical collection and use of data, securing the scientific integrity of the analyses it generates as well as complying with all applicable data privacy regulations;
  • Drive improved topline through developing e.g. patient safety based on reimbursement models keeping Bayer’s license to operate by delivering Pharmacovigilance product insights;
  • Identify novel product benefits or risk insights to protect the safety and well-being of patients and consumers;
  • Ensure excellence, and increased transactional efficiency, quality, and compliance through novel technologies and data sources.

 

WHO YOU ARE

 

Your success will be driven by your demonstration of our life values, more specifically related to this position, Bayer seeks an incumbent who possesses the following:

 

Required qualifications:

 

  • Bachelors, Masters, or Doctorate degree student in Data Science, Computer Science, Mathematics, Bioinformatics, or Statistics;
  • Experience with big and complex data environments (structured and unstructured data sources), using advanced analytics, artificial intelligence, deep learning frameworks, and machine learning algorithms;
  • Excellent understanding of statistical performance data, trend analysis to determine abnormalities, and a broad understanding of a variety of data environments and tools (like SAS, R, Python, Hadoop, Spark, Rapid Miner, Spotfire, etc.);
  • Hands-on experience with programming languages (Python and R), Machine Learning, and Deep Learning tools and packages such as scikit-learn, Keras, TensorFlow, or PyTorch.

 

 

 

 

 

Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of approximately $20.00 to $52.00.  Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

 

   
YOUR APPLICATION  
   

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
 
Bayer is an Equal Opportunity Employer/Disabled/Veterans
 
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. 

 
   
   
IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer employees are also required to comply with state, local and customer requirements.  
   
   
Location: United States : Residence Based : Residence Based     
Division: Pharmaceuticals    
Reference Code: 660241     
 
 
Contact Us
   
Email: hrop_usa@bayer.com 


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