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Amgen Logo Amgen · Research and Development

Target Validation Sr Director

United States, South San Francisco 265405.00 - 312459.00 USD / Year · Job Posted April 24, 2026
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Job Description

This research based Senior Director role will be responsible for building, leading and developing a multidisciplinary team that implements the most cutting-edge experimental and computational science and technologies to address and solve complex biological problems related to target discovery for multiple therapeutic areas.

Job Responsibility

  • Lead and develop a multidisciplinary organization of ~25 scientists within Research Biology
  • Integrate diverse experimental disciplines and workflows to ensure coordinated execution and efficient delivery of novel molecular insights
  • Establish platform priorities, resource allocation, and capacity planning in alignment with Research Biology and Therapeutic Area priorities
  • Define clear roles, responsibilities, and seamless handoffs across teams and partnering organizations
  • Drive adoption of automated experimental workflows, and integration of AI/ML to enable efficient experimentation across programs
  • Serve as a senior scientific partner to Target Discovery and Therapeutic Areas
  • Set clear expectations and enable scientists with diverse skill sets to collaborate effectively and contribute to early research pipeline
  • Serve as a core member of Target Discovery Advisory Forum, and play a key role in target discovery, validation and prioritization. Engage, influence, and align therapeutic area stakeholders
  • Guide team members in synthesizing and communicating complex scientific and data-driven insights to key stakeholders and advisory forum
  • Contribute to fostering a highly collaborative, creative, dynamic and cutting-edge research environment

Requirements

  • Doctorate degree PhD in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 7 years of scientific leadership experience in biotech, pharma or equivalent research environments
  • OR Master’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 10 years of scientific leadership experience in biotech, pharma or equivalent research environments
  • OR Bachelor’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant disciplineand 12 years of scientific leadership experience in biotech, pharma or equivalent research environments

Nice to have

  • Experience leading mechanistic discovery research programs and -omics platforms
  • Demonstrated ability to integrate experimental science with enterprise data, analytics, or AI/ML capabilities
  • Appreciation for and experience with application of genetics, genomics, transcriptomics, proteomics, structural and AI/ML approaches to biological research
  • Proven track record of scientific impact in molecular, biochemical and cell biological characterization, evidenced by publications in top-tier journals, patents, and program advancement
  • Recognized scientific excellence, passion for discovery research and productivity
  • Experience managing budgets and capital investments
  • Demonstrated success in identifying, attracting, and retaining scientific talent
  • Proven mentorship and team development experience
  • Strength in team building
  • Clear and compelling communicator

What we offer

  • competitive benefits
  • collaborative culture
  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • discretionary annual bonus program
  • stock-based long-term incentives
  • award-winning time-off plans
  • flexible work models where possible
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