The primary responsibilities of this role, as a Grad Scholar, are to:
• Participating in a multi-disciplinary team of scientists to offer bioinformatics, genomics,
transcriptomics and metagenomics for controlling pests and diseases in plant and promoting plant
health using microbes;
• Proactively identifying and incorporating new algorithms and technology to automate the analysis of
microbial genomes and to extend the features of existing analysis pipelines;
• Understanding the dynamics of plant, microbe and pest/pathogen interaction using various omics
technologies;
• Managing next-generation sequencing (NGS) data and analyses;
• Training scientific staff on the use of relevant bioinformatics software and tools;
• Working with other non-bioinformatics team member in the CLS group to understand their roles and
to serve as backups as needed;
• Communicating effectively through listening, documentations and presentations, especially using
compelling visualization tools to share analysis and interpretation of data.
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:
• PhD in Computational Biology, Ecology and Evolution, Plant Biology,Bioinformatics, Genomics or
related field with 0-1 year of post-graduate experience or a Master’s with 4+ years, or BSc. with 6+ years
of post-graduate experience and currently enrolled in a graduate program.
• Proven ability to handle large data sets efficiently using scripts, databases, and other tools;
• Familiar with state-of-the-art open source and commercial bioinformatics tools;
• In depth familiarity with various public genomic databases, statistical software tools and packages
such as R and bioinformatics algorithms, particularly for the analysis of NGS data (Illumina and PacBio);
• Should be comfortable enough with some basic statistical concepts and able to converse with other
scientists about how to interpret basic statistical analyses such as ANOVA, linear regression, and power
analyses.
• Experiences in three or more of the following areas: Comparative genomics; Transcriptome
sequencing analysis; Phylogenetic analysis; Pathway modeling and analysis; and/or Metagenomics
analysis;
Preferred Skills/Qualifications:
• Familiarity with SQL and relational database, particularly PostgreSQL;
• Fluent in Python, Perl, or other scripting languages;
• Previous laboratory experience;
• Knowledge of fungal, bacterial, insect, or plant genetics;
• Working with high performance computing clusters and/or cloud services.