Senior Translational and Computational Biologist at Pfizer | Bothell, WA, US | Rezi

Senior Translational and Computational Biologist at Pfizer

Senior Translational and Computational Biologist

Pfizer · Bothell, WA, US

Today

Senior Translational and Computational Biologist

Pfizer · Bothell, WA, US

a day ago
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About the Role

As a Senior Translational and Computational Biologist at Pfizer, you will help transform complex biological and clinical data into insights that support critical scientific decisions across research and development. This role combines deep biological understanding with data, computational approaches, and emerging AI capabilities to influence drug discovery and development programs, working alongside experienced professionals to address scientific questions with the potential to improve patients' lives.

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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

Requirements

  • 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
  • Demonstrated success applying computational approaches to biological or biomedical problems
  • Strong desire to continue learning
  • Experience independently conducting scientific or biological analyses
  • Experience managing defined projects or analytical workstreams
  • Experience applying computational methods to real-world scientific questions
  • Experience delivering clear, data-driven conclusions and recommendations
  • Experience working effectively with limited oversight while seeking guidance when needed
  • Strong intellectual curiosity
  • Analytical rigor
  • Attention to detail
  • A growth mindset
  • Willingness to learn new biological domains
  • Ability to incorporate feedback
  • Enthusiasm for partnering with scientists and stakeholders
  • Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research is preferred
  • Experience supporting drug discovery or development activities is preferred
  • Familiarity with AI-enabled scientific workflows is preferred
  • Experience working on multidisciplinary scientific teams is preferred
  • Exposure to translational, clinical, or therapeutic-area research is preferred
  • Permanent work authorization in the United States is required

Skills

  • R and/or Python (or equivalent computational tools)
  • Statistical analysis
  • Data visualization
  • Reproducible research practices
  • Biological data analysis
  • Machine learning fundamentals
  • Multi-omics
  • Single-cell biology
  • Spatial biology
  • Genetics and genomics
  • Imaging
  • Clinical data
  • Real-world data
  • Experience integrating multiple data sources is a plus

Location

  • Hybrid

Work Type

  • Hybrid

Experience Level

  • Senior

Education Level

  • PhD preferred
  • Master's degree

Salary/Compensations

  • $106,000.00 - $176,600.00

Benefits

  • Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary
  • Eligibility to participate in our share-based long-term incentive program
  • 401(k) plan with Pfizer Matching Contributions
  • Additional Pfizer Retirement Savings Contribution
  • Paid vacation, holiday and personal days
  • Paid caregiver/parental and medical leave
  • Health benefits to include medical, prescription drug, dental and vision coverage
  • Relocation assistance may be available

About the Company

  • At Pfizer, breakthroughs in biology, data science, and artificial intelligence are changing how medicines are discovered and developed.
  • At Pfizer, computational biology is becoming an increasingly important driver of scientific discovery.
  • Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.
  • Pfizer endeavors to make www.pfizer.com/careers accessible to all users.

Equal Opportunity

  • Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.
  • Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.
  • Pfizer is an E-Verify employer.