Bayer
Metagenomics Data Science Co Op Job Details | Bayer AG
Bayer, Chesterfield, Missouri, United States, 63005
Metagenomics Data Science Co Op
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Generate and analyze metagenomics data for the discovery of novel traits for our Plant Biotechnology trait portfolio;
Independently write and run bioinformatics analysis and pipelines, statistical analysis, predictivemodeling and experimental design;
Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community;
Contribute to the development of code, bioinformatic analyses pipelines, computational tools, and databases for mining and visualizing metagenomic datasets;
Clearly communicate findings and recommendations to partners.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
Currently enrolled in a Master’s or PhD program in Bioinformatics, Computational Biology, Microbiology, Molecular Biology, or a related field;
Educational preparation or applied experience in at least one of the following areas:Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
Demonstrates intermediate proficiency in computational skills and level of experience writing scripts and pipelines in R, Python, Bash, or similar languages;
Demonstrates basic understanding of software development best practices (Version Control, Code Documentation & Review);
Experience in successful delivery of valuable analysis through application of domain knowledge;
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders.
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.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 827252
Contact Us
Email: hrop_usa@bayer.com
Job Segment: Biology, Molecular Biology, Industrial Engineer, Statistics, Scientific, Science, Engineering, Data
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Generate and analyze metagenomics data for the discovery of novel traits for our Plant Biotechnology trait portfolio;
Independently write and run bioinformatics analysis and pipelines, statistical analysis, predictivemodeling and experimental design;
Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community;
Contribute to the development of code, bioinformatic analyses pipelines, computational tools, and databases for mining and visualizing metagenomic datasets;
Clearly communicate findings and recommendations to partners.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
Currently enrolled in a Master’s or PhD program in Bioinformatics, Computational Biology, Microbiology, Molecular Biology, or a related field;
Educational preparation or applied experience in at least one of the following areas:Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
Demonstrates intermediate proficiency in computational skills and level of experience writing scripts and pipelines in R, Python, Bash, or similar languages;
Demonstrates basic understanding of software development best practices (Version Control, Code Documentation & Review);
Experience in successful delivery of valuable analysis through application of domain knowledge;
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders.
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.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 827252
Contact Us
Email: hrop_usa@bayer.com
Job Segment: Biology, Molecular Biology, Industrial Engineer, Statistics, Scientific, Science, Engineering, Data