Senior Translational and Computational Biologist

Job description

Launch Your Career at the Intersection of Biology, AI, and Drug Discovery At Pfizer, breakthroughs in biology, data science, and artificial intelligence are changing how medicines are discovered and developed. As a Senior Translational and Computational Biologist, you'll help transform complex biological and clinical data into insights that support critical scientific decisions across research and development. This is an opportunity for computational and translational scientists who want to combine deep biological understanding with data, computational approaches, and emerging AI capabilities to influence real drug discovery and development programs. You'll work alongside experienced computational biologists, AI scientists, translational researchers, clinicians, and therapeutic area experts while contributing to scientific questions that have the potential to improve patients' lives around the world. Why This Role Is Different Build Expertise While Doing Meaningful Work This role is designed for scientsts ready to take ownership of important biological and translational problems while expanding their ability to apply computational and AI-enabled approaches. You'll independently lead defined analyses, biological investigations, and use-case components while receiving guidance, mentorship, and exposure to some of the most challenging scientific questions in healthcare. Learn How Science Drives Decisions You'll help support research across areas such as: Target identification and validation Biomarker discovery Patient stratification Disease biology Translational research Clinical development Business development assessments Most importantly, you'll learn how computational insights influence decisions throughout the drug development lifecycle. Grow Beyond Data Analysis Computational biologists at Pfizer are not downstream analysts waiting for completed models. They help shape questions, interpret evidence, challenge assumptions, and translate data into scientific understanding. This role provides an opportunity to develop those capabilities over time while building confidence and credibility as a scientific partner. Develop Domain and Customer Fluency You'll gain firsthand experience working with biological, translational, clinical, and therapeutic-area stakeholders while learning how to translate scientific needs into analytical approaches and actionable insights. Bridge AI, Data, and Biology to Drive R&D ImpactThis role sits at the intersection of the AI Core and Pfizer's scientific and therapeutic-area organizations. You may come from a computational or translational biology background; what matters most is deep biological and scientific judgment combined with the ability to use data, computational approaches, and emerging AI capabilities to answer important questions. You will work closely with discovery, translational, clinical development, and other R&D teams to identify high-value problems, connect them with the right AI and analytical capabilities, interpret results in biological and clinical context, and help translate new approaches into scientific practice. You will be an early adopter of new AI-enabled ways of working and a trusted scientific partner who helps therapeutic-area teams use these capabilities effectively. The Opportunity As a Senior Translational and Computational Biologist, you will apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets. This is a role where success is measured not by leading large scientific programs, but by consistently delivering high-quality analyses, building domain expertise, and developing scientific judgment. You will: Own scoped analyses and defined biological investigations with appropriate guidance Partner with scientists to understand biological questions and analytical needs Apply computational methods to generate high-quality scientific insights Build expertise in disease biology, drug discovery, and development Learn how computational evidence supports scientific and portfolio decisions Develop increasing independence in scientific problem-solving and stakeholder engagement This role is ideal for individuals who enjoy learning, thrive in collaborative environments, and want to build a long-term career at the intersection of computation, biology, and medicine. What You'll Do Conduct High-Impact Biological Analyses Independently execute defined analyses across biological, molecular, genetic, clinical, and translational datasets Investigate scientific questions and summarize findings with clarity and rigor Generate hypotheses and identify meaningful biological patterns Deliver evidence-based insights that support scientific decision-making Translate Scientific Questions into Analytical Approaches Work with experienced computational biologists and scientific partners to understand research challenges Help define study populations, cohorts, labels, biological annotations, and evaluation criteria Translate biological questions into executable computational workflows Learn how analytical choices influence scientific outcomes Develop Domain Expertise Build understanding of disease biology, clinical development, and drug discovery processes Learn how therapeutic area teams approach scientific decision-making Develop familiarity with customer and stakeholder needs Become a trusted contributor within defined scientific domains Work Across Diverse Scientific Data Types You may contribute to analyses involving: Multi-omics data Single-cell biology Spatial biology Genetics and genomics Imaging data Perturbational biology Clinical trial datasets Real-world data and evidence You'll have opportunities to deepen expertise in one domain while becoming increasingly comfortable working across multiple data modalities. Build Scientific and Analytical Judgment Interpret results in biological and clinical context Assess uncertainty, limitations, and alternative explanations Apply statistical and computational best practices Strengthen reproducible research practices and documentation standards Grow as a Scientific Partner Communicate findings clearly to scientific stakeholders Participate in multidisciplinary project discussions Learn how to influence decisions through evidence Build the scientific credibility and stakeholder fluency needed to take on increasingly complex work What You Bring Education & Scientific Foundation You have: A PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or a related scientific discipline A Master's degree with 2+ years of relevant experience Most importantly, you have demonstrated success applying computational approaches to biological or biomedical problems and a strong desire to continue learning Demonstrated Analytical Ownership You have experience: Independently conducting scientific or biological analyses Managing defined projects or analytical workstreams Applying computational methods to real-world scientific questions Delivering clear, data-driven conclusions and recommendations Working effectively with limited oversight while seeking guidance when needed We are looking for computational biologists who have demonstrated the ability to own their work, deliver quality analyses, and continuously expand their expertise. Technical Proficiency You bring working or strong proficiency in: R and/or Python (or equivalent computational tools) Statistical analysis Data visualization Reproducible research practices Biological data analysis Machine learning fundamentals You have demonstrated experience in at least one major scientific data domain such as: Multi-omics Single-cell biology Spatial biology Genetics and genomics Imaging Clinical data Real-world data Experience integrating multiple data sources is a plus, but not required. Learning Agility & Scientific Mindset Successful candidates demo