Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Scientist II, Antibody Engineering role.

Rezi rewrites your resume against Astellas Pharma's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Scientist II, Antibody Engineering posting at Astellas Pharma — free, in seconds.

About the Role

Astellas aims to build a robust R&D portfolio by applying cutting-edge science and technology to engineered biologics. We are seeking an accomplished scientist to lead antibody engineering projects within our global Antibody Engineering group. This role will support AI-enabled antibody design and data workflows, establishing and improving scalable workflows that combine external SaaS platforms, internal computational methods, AI agents, and biologics data management to accelerate antibody discovery programs globally.

Responsibilities

Lead AI-Driven De Novo Antibody Engineering Projects: Plan, design, develop, and optimize mono-, bi-, and multi-specific antibodies using generative AI and machine learning models, including computational de novo sequence generation and in silico optimization.
Establish and operate scalable workflows using AI-enabled SaaS platforms, internal computational methods, and AI agents, in close collaboration with experimental teams for protein production, validation, and characterization.
Use iterative design-make-test-learn cycles to support antibody discovery, lead optimization, and candidate selection.
Drive the dissemination and adoption of AI-enabled antibody design and related computational workflows across teams, strengthening scientific capabilities and enabling broader application of these approaches by experimental scientists.
Collaborate Cross-Functionally: Work closely with cancer biology, translational science, clinical development, AI/ML, research informatics, data management, and global Biologics Engineering colleagues to advance therapeutic candidates.
Provide computational design and data, as well as biologics data management support for antibody engineering and discovery programs.
Coordinate with CROs and external technology providers, including outsourced protein production/analytics and research collaborations.
Integrate computational recommendations with binding, functional, biophysical, and developability data to inform program decisions.
Innovate, Evaluate, Implement Technologies: Stay at the forefront of antibody engineering and AI/ML advancements by evaluating and integrating novel technologies.
Establish reproducible and user-friendly workflows that can be scaled across programs.
Data Presentation and Reporting: Present findings and recommendations to internal stakeholders and at scientific conferences, document computational workflows and design decisions, and contribute to publications and patent applications.

Requirements

PhD with 2+ years or MS with 7+ years of relevant experience in computational protein/antibody design, machine learning, bioinformatics, structural biology, computational biology, biophysics, or a related field.
Demonstrated experience in computational antibody design and/or AI/ML-enabled protein design, including the use of generative and structure-prediction models.
Experience may include target-conditioned binder design and optimization of one or more modalities such as monoclonal, bispecific, or multi-specific antibodies, TCEs, ADCs, or other engineered biologics leveraging protein language models and structural modeling tools.
Hands-on experience in establishing, operating, or improving computational workflows for protein or antibody design.
Experience with AI-enabled SaaS platforms, AI agents, and/or biologics data management platforms is desirable.
Demonstrated understanding of antibody discovery and engineering, including antibody sequence, structure, binding, function, format, and developability relationships.
Ability to interpret experimental antibody data and translate the results into testable design hypotheses and molecule-prioritization decisions.
Excellent communication skills with a demonstrated ability to articulate computational and experimental plans and present research findings and recommendations in meetings.
Strong work ethic with a dedicated mindset of proactively identifying and addressing gaps in computational design, data, and workflow capabilities.
Strong collaborative mindset and ability to work with global project teams.
Willingness to take on tasks and responsibilities as needed in a dynamic environment and to support multiple antibody discovery programs.
Background in oncology research or strong interest in applying antibody engineering to oncology, with familiarity in AI/ML-driven tumor-targeting biologics and de novo antibody design for challenging oncology targets.
Related industry experience in computational antibody/protein engineering, AI-based sequence generation, bioinformatics, structural biology, or molecular modeling for biologics developability.
Experience with commercial or cloud-based platforms for AI-enabled antibody/protein design, as well as biologics data management systems, is a plus.
Experience with antibody generation or screening technologies, such as phage display, yeast or mammalian display, B-cell discovery, immunization-based discovery, or related experimental platforms, is a plus.
Experience coordinating work with CROs, external technology providers, or global research teams, including cross-site collaboration, is a plus.

Skills

Computational protein/antibody design
Machine learning
Bioinformatics
Structural biology
Computational biology
Biophysics
Generative AI
Machine learning models
Protein production
Protein validation
Protein characterization
AI-enabled SaaS platforms
AI agents
Biologics data management
Antibody discovery
Lead optimization
Candidate selection
Cancer biology
Translational science
Clinical development
AI/ML
Research informatics
Data management
Biologics Engineering
CRO coordination
External technology provider coordination
Protein language models
Structural modeling tools
Protein sequence
Protein structure
Protein binding
Protein function
Protein format
Protein developability
AI/ML advancements
Oncology research
AI/ML-driven tumor-targeting biologics
De novo antibody design
Phage display
Yeast display
Mammalian display
B-cell discovery
Immunization-based discovery

Location

South San Francisco

Work Type

On-site

Experience Level

2+ years post-PhD
7+ years post-MS

Education Level

Salary/Compensations

$105,280 - $150,400

Benefits

Medical, Dental and Vision Insurance
Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
401(k) match and annual company contribution
Company paid life insurance
Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
Long Term Incentive Plan for eligible positions
Company fleet vehicle for eligible positions
Referral bonus program

About the Company

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients.
We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health.
Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need.
Learn more at Astellas.com.
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks.
People who act with unwavering integrity and are deeply committed to making a tangible impact.
Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as ‘One Astellas’, working with courage and a sense of urgency.
We are outcome focused and consistently take accountability for our personal contribution.