Genomics & Sequencing Co Op

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.

Genomics & Sequencing Co Op

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

• Evaluate and develop new methodologies relating to long-read next generation sequencing automated workflows;
• Drive experimental design with guidance from multiple marker scientists and data analysis scientists;
• Analyze outcomes in conjunction with wet and dry lab scientists and provide assessment of approaches during and at the end of the co-op;
• Primary or shared project responsibility for executing experiments on next generation sequencing workflows with assistance from team members in genomics & sequencing team

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Must be registered and currently enrolled in a graduate program - PhD - pursuing a degree in Biology, Breeding, Cell & Molecular Biology, Computational Biology, Genetics, Genomics, Biochemistry or related field;
• Demonstrated interest and coursework in subjects related to genetics or genomics or molecular biology;
• Curiosity and self-motivation to be exposed to and learn different techniques and their applications;
• Ability to work within a team-based environment;
• Experience with coding in languages such as Python or R and/or experiencce in computaitonal and analytical tools analyzing large datasets;
• Agility in the face of changing projects or demands.

Preferred Qualifications:

• Familiarity with computational analysis of next generation sequencing and the use of this data in genetic or genomic analysis;
• Experience using computational methods for sequencing data analysis;
• Familiarity and experience with next generation library preparations with emphasis on long-read technologies.