Principal Scientist, Computational Biology Oncology

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, and we seek an agile innovator who brings excitement for drug discovery in cancer biology and a passion for cultural transformation. Principal Scientist, Computational Biology Oncology 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, such as RAISE dimensions, translational science strategy, proof‑of‑mechanism, and lifecycle management; Contribute to product team scientific strategy and prosecution of critical path objectives, including the identification of novel targets, biomarkers, or patient selection hypotheses using state‑of‑the‑art computational biology methods to analyze large and complex data sets; Deliver biological insights on therapeutic assets and disease biology to product teams, informing stage‑gate decisions, portfolio prioritization, and 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, updating practices with emerging technologies; Build cross‑functional relationships to partner across Pharma R&D and network within disease understanding and data science expert communities. Qualifications Required Qualifications: PhD degree in Life Sciences (Bioinformatics, Computational Biology, Biology, Genetics, Molecular Biology, or other related discipline) with a 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 peer‑reviewed publications in computational biology; Expert level proficiency in choosing fit‑for‑purpose quantitative analyses; Demonstrated ability to propose, catalyze, and implement interdisciplinary, systematic solutions that create business value; Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem; Strong communication competencies, including the ability to present complex issues clearly and convincingly to project teams or decision bodies; Advanced business acumen, people and project leadership competencies, and technical expertise; Ability to manage a high degree of organizational and technical complexity; Learning agility, highly self‑motivated, with an aspiration for continuous improvement of oneself and others. Preferred Qualifications: 5+ years industry experience in drug development or biotech with a clear understanding of applying multi‑omics data analyses to advance drug discovery or clinical development projects. Compensation and Benefits Employees can expect to be paid a salary between $136,000.00 and $204,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, and more. Location United States : Massachusetts : Cambridge Bayer is an Equal Opportunity Employer. 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 accommodations. Bayer is an E‑Verify Employer. #J-18808-Ljbffr Bayer AG