Computational Biologist (all genders) 

     

 

JOB PURPOSE

Join passionate colleagues in Bayer's Research & Early Development Oncology who are inventing the next wave of cancer medicines! As part of oursubstantial build up of Bayer's oncology research presence in Basel, we are seeking a Computational Biologist to harness the power of multi-omicsdata.Your role will be to synthesize biological insights that guide therapeutic hypotheses and stage-gate decisions for the oncology portfolio.This is youropportunity to help shape our next corporate cluture of Dynamic Shared Ownership in empowered global teams.

 

YOUR TASKS & RESPONSIBILITIES

 

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 developmentcriteria include RAISE dimensions, translational science strategy, proof-of-mechanism, and lifecycle managementContribute to Product Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, orpatient selection hypotheses. These contributions use state-of-the art computational biologymethods to analyze large and complex data setsDeliver biological insights on therapeutic assets and disease biology understanding to Product Teams, who apply these insights towards stage-gatedecisions, portfolio prioritization, and/or submissions to Health AuthoritiesEducate Product Teams on innovations in disease understanding, especially molecular mechanisms of tumor vulnerabilities that may represent unmetmedical needDevelop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, andinterpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental orcomputational technologiesBuild cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and datascience communities of experts

 

WHO YOU ARE
 

Bachelors degree with 8+ years of post-graduation experience or Masters degree with 5+ years of post-graduation experience or PhD degree with 3+years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics,or other related quantitative discipline) with very strong computational focusDemonstrated experience in portfolio value creation through application of domain knowledge, such as: identification of novel targets; evaluation ofclinical biomarkers; delivery of quantitative analyses and insights that influence stage-gate decisionsDemonstrated experience in statistical analysis of DNA-seq, RNA- seq, proteomics, single-cell, or imaging datasets withproficiency in a programmingenvironment (such as R or Python)Demonstrated peer-reviewed publications in computational biologyExpert level of proficiency to choose fit-for-purpose quantitative analysesStrong analytical thinkingand scientific rigorStrong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable mannerto broad audiences and key stakeholders across multiple functions or to external partnersLearning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and othersFluent in English is a must, any other languages is a plus  YOUR APPLICATION   

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below.
 

 

 

Location:

Switzerland : Basel-City : Basel  

 

Division:

Pharmaceuticals

 

Reference Code:

839371