PMO Computational Biologist Lead

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

PMO Computational Biologist Lead

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role Program Management Office Computational Biologist Lead are to:

• Process analyze and visualize data from proteomics chemo proteomics phosphoproteomics and interaction proteomics experiments;
• Build and perfect informatics pipeline for mass spec-based proteomics;
• Drive bioinformatics strategy by working closely with chemical biologists pharmacologists and data scientists to develop tools and workflows that support research strategy;
• Explore modern computational methodologies in multi-omics (proteomics functional genomics transcriptomics) to generate biological interaction networks such as protein-protein interaction networks gene-protein interaction networks and gene regulatory networks to provide insights into disease biology and the Mechanism of Action (MoA) of selected compounds;
• Maintain scientific and technical expertise through familiarity with scientific literature attending conferences and developing relationships with thought leaders.

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:

• Ph.D. in bioinformatics computational biology proteomics or genomics or a similar subject area with four years of postgraduate experience in the industry;
• Hands-on experience in performing analysis and interpreting biology with proteomics datasets;
• Experience in multi-omics data;
• Expertise in current bioinformatics and computational biology tools methods and applications;
• Strong analytical statistical and programming skills (Python/R/etc.);
• A strong record of scientific achievement and innovation including publications in high-impact journals;
• Excellent verbal and written communication skills to collaborate effectively with scientists working in other disciplines.

Preferred qualifications:

• Analysis including genetics transcriptomics and single-cell RNA-Seq.