Computational Biologist, Principal Scientist - CVRI

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Computational Biologist, Principal Scientist - CVRI

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, proteomics, metabolomics, imaging, etc) for CardioVascular, renal and immunology Therapeutic Areas. Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence; assessing the link between targets and disease biology; proposing pharmacodynamic, efficacy or selection biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. Adopts and contributes 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 the Computational Biologist are to:

• Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, proteomics, metabolomics, imaging, etc);
• Contribute to Project 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 human data sets;
• Deliver biological insights on therapeutic assets and disease biology understanding to Project Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities;
• Educate Project Teams on innovations in disease understanding in the CardioVascular, renal and immunology Therapeutic Areas;
• 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.
  
  

Who You Are

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• PhD degree with post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus;
• Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python);
• Demonstrated hands-on experience in analysis of large scale proteomics, metabolomics datasets;
• Demonstrated peer-reviewed publications in computational biology;
• Expert level of proficiency to choose fit-for-purpose quantitative analyses;
• Strong analytical thinking and scientific rigor;
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to broad audiences and key stakeholders across multiple functions or to external partners;
• Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others;
• Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem;
• Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value;
• Capability to present even very complex issues clearly and convincingly to project teams or decision bodies. Good communication skills. Can manage a high degree of complexity;
• Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise.
  
  

Preferred Qualifications:

• 5 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 focus;
• 3 years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects.
  
  

Employees can expect to be paid a salary between $124,864.80 - $187,297.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 11/05/2025.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer is an E-Verify Employer.

Location: United States : Massachusetts : Cambridge

Division: Pharmaceuticals

Reference Code: 855418

Contact Us

Email: hrop_usa@bayer.com