Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Senior Scientist, Antibody Engineering role.
Rezi rewrites your resume against Astellas Pharma's job description. Free.
Tailor your resume to this Senior Scientist, Antibody Engineering role.
Rezi rewrites your resume against Astellas Pharma's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Scientist, Antibody Engineering posting at Astellas Pharma — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Scientist, Antibody Engineering posting at Astellas Pharma — free, in seconds.
About the Role
The primary focus of this Senior Scientist position is to lead de novo protein / antibody design capability in the SSF Antibody Engineering team. The role is responsible for applying AI/ML approaches to optimize the Design-Make-Test-Analysis (DMTA) cycle for discovery-candidates (DC) / candidate nomination (CN), and to support cross-functional collaboration projects in Astellas. The successful candidate will be the interface between computational and experimental sciences with the goal to drive programs faster to the clinic.
Responsibilities
- Develop and expand SSF Antibody Engineering Team capability in AI/ML-based de novo protein/antibody design and engineering
- Participate in relevant Program Teams, understand the biology behind programs for the designs of antibodies, bispecific antibodies, T-cell engagers (TCEs), antibody-drug conjugates (ADCs), engineered cytokines, and other biologic therapeutics etc.
- Apply computational and data-driven approaches, including Python programming, AI/ML tools, bioinformatics, and in silico protein engineering, to support therapeutic design, sequence analysis, data interpretation, and workflow automation
- Design constructs and assays including BLI, ELISA, cell-based binding/cytotoxicity assays and developability assessment to support molecule selection and optimization
- Integrate experimental data to improve AI/ML models and develop modality-specific AI/ML protein engineering platforms
- Support coordination with CROs and external partners for protein production, analytical characterization, assay execution, and data review
- Contribute to biologics data management system, ELN, technical reports, documentation, invention disclosures, patent applications, and external presentations when appropriate
- Proactively maintain Astellas network/communication of experts in biologics, small molecules, cell and gene therapy and digital / IT / AI drug discovery teams
Requirements
- PhD with 5+ years related industry and/or post-doctoral experience in Biochemistry, Biophysics, Computational Biology and Structural Biology
- Proficiency in Python programming or related scripting tools for biological data analysis, data visualization, workflow automation, and/or integration of computational and experimental datasets.
- Experience with generative AI for protein design, machine learning model development, structural biology tools (PyMOL, Boltz, AlphaFold, Rosetta, etc.)
- Familiarity with cloud computing, database management, and data engineering pipelines.
- Familiarity with different antibody formats, antibody-drug assessment and validation process
- Good practice in data management / recording
- Strong work ethic and collaborative mindset, with demonstrated flexibility, adaptability, and willingness to support critical team priorities beyond primary project responsibilities
- Excellent written and verbal communication skills, with the ability to clearly articulate computational and experimental strategies, present complex data, and communicate recommendations to diverse audiences
- Hands-on experience in antibody/protein engineering and characterization
- Knowledge of antibody discovery, affinity maturation, and developability assessment for biologics drug development
- Experience with NGS-based protein engineering datasets
Skills
- Python programming
- AI/ML tools
- Bioinformatics
- In silico protein engineering
- BLI
- ELISA
- Cell-based binding assays
- Cytotoxicity assays
- Developability assessment
- Cloud computing
- Database management
- Data engineering pipelines
- Antibody formats
- Antibody-drug assessment
- Validation process
- Data management
- Generative AI for protein design
- Machine learning model development
- Structural biology tools (PyMOL, Boltz, AlphaFold, Rosetta, etc.)
- Antibody/protein engineering
- Antibody discovery
- Affinity maturation
- NGS-based protein engineering datasets
Location
- SSF
Work Type
- On-site
- Hybrid
Experience Level
- Senior Scientist
- 5+ years related industry and/or post-doctoral experience
Education Level
- PhD
Salary/Compensations
- $119,000-$170,000
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.