Data Scientist Quantitative Genetics Biology Intern

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Job Title: Data Scientist Quantitative Genetics Biology Intern
Location: Champaign, IL, Midwest United States, USA
Company: Bayer
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed & Biotechnology
Job Type: Internship/Summer Work Experience
Salary: Competitive
Job Description:


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 Quantitative Genetics Biology Intern 




The primary responsibilities of this role, Data Scientist Quantitative Genetics Biology Intern, are to: 


  • Build and validate predictive models incorporating key breeding data, soil, weather, and environmental data;
  • Demonstrate the application of the models and deploy them to stakeholders;
  • Contribute to positive team culture and work ethos based on Bayer LIFE values;
  • Support the Health, Safety, and Environment, Compliance, Business Conduct, and Human Rights policies and culture.




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:


  • Currently enrolled at the University of Illinois-Champaign Urbana pursuing an advanced degree Master of Science or Ph.D. student in Computational Biology, Genetics, Bioinformatics or similar field with focus in Computer Science, Statistics, Data Science, Mathematics or similar field;
  • Strong programming skills in R, Python, SQL, Java or Linux;
  • Data-driven methods for target identification and biomarker discovery;
  • Problem solving ability and experience in analyzing and presenting complex data;
  • Utilizing public datasets on bulk and single-cell RNA-seq for target and biomarker discovery;
  • Implementing computational tools for variant impact prediction;
  • Using bioinformatics techniques for mutation assessment and target prioritization;
  • Organizational, interpersonal, and written communication skills;
  • Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts;
  • Ability to communicate complex ideas in a clear, precise and actionable manner;
  • Detail and results oriented with the ability to work independently;
  • Ability to actively engage with internal partners and external collaborators to align strategies and success measures in analytics;
  • Able to work 10-20 hours per week if interning during the semester;
  • Able to work 40 hours per week if interning during the summer.

Preferred Qualifications:


  • Experience with cloud computing such as Hadoop and Spark;
  • Performing machine-learning/deep-learning with focus on multi-omics data integration.

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. 

Location: Champaign     
Division: Crop Science    
Reference Code: 469061     
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To apply please click on APPLY TO THIS POSITION
Job Post Date: 10/14/21
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