Computational Biologist, Principal Scientist

 

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.

 

Computational Biologist, Principal Scientist 

 

Bayer is a biopharmaceutical company committed to applying our scientific leadership in Oncology to transform the lives of patients with cancer. We are growing rapidly with an active research and discovery pipeline. We are seeking an agile innovator who brings excitement for drug discovery in cancer biology, as well as a passion for the cultural transformation of Dynamic Shared Ownership.

 

The Computational Biologist is responsible for the evaluation of therapeutic hypotheses via integration and quantitative analyses of internal & external multi-omics data sources (DNA, RNA, CRISPR, ChIP-seq, methylation, and proteomics).  Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence for a defined patient population; assessing the link between targets and disease biology; proposing indication selection and expansion hypotheses; proposing pharmacodynamic biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. You will adopt and contribute to Best Practices for novel technologies, quantitative analyses, visualizations, and biological insight generation from multi-omics data sources.

 

 

YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Computational Biologist are to:

 

• Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, CRISPR, ChIP-seq, methylation, and proteomics);
• Design, execute, and interpret complex quantitative analyses to address precision drug development criteria.  Examples of precision drug development criteria include RAISE dimensions, translational science strategy, proof-of-mechanism, and lifecycle management;
• Contribute to Product Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses.  These contributions use state-of-the art computational biology methods to analyze large and complex data sets;
• Deliver biological insights on therapeutic assets and disease biology understanding to Product Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities;
• Educate Product Teams on innovations in disease understanding, especially molecular mechanisms of tumor vulnerabilities that may represent unmet medical need;
• Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data.  Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies;
• Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science communities of experts.