Senior Scientist (Computational Protein Design)

Location: South San Francisco, California, United States; conditions also list hirify.global's corporate headquarters at One hirify.global Center Drive, Thousand Oaks, California, United States.

Company

hirify.global is a biotechnology company developing and manufacturing medicines across oncology, inflammation, general medicine, rare disease, and obesity-related conditions.

What you will do

• Develop and automate machine-learning protein design workflows for binder generation.
• Build scalable pipelines for large libraries of de novo proteins across multiple targets.
• Apply computational methods to multiplexed screening and receptor discovery.
• Design, prioritize, filter, rank, and optimize the diversity of binders and target panels.
• Integrate computational design outputs with experimental validation and collaborate with experimental scientists and data teams.
• Contribute shared tools, workflows, and best practices to the protein design community.

Requirements

• PhD, PharmD, or MD with relevant postdoctoral experience in computational biology, structural biology, bioengineering, biophysics, computer science, or a related discipline focused on protein design; alternatively, a master's degree with 3 years of protein design experience or a bachelor's degree with 5 years of protein design experience.
• Experience in computational protein design, including binders such as minibinders or antibodies.
• Experience developing automated, scalable computational pipelines for protein design or structural modeling.
• Programming skills in Python or other scripting languages, including maintainable workflow automation for large-scale computational experiments.
• Knowledge of protein structure-function relationships, epitope targeting, protein-protein interaction design, and large protein libraries or multiplexed design strategies.
• Experience collaborating across computational science, experimental biology, and data science teams.

Nice to have

• Experience with AI/ML-driven protein design and structure prediction tools such as AlphaFold, ProteinMPNN, or RFdiffusion.
• Familiarity with cloud computing, high-performance computing, and workflow orchestration tools.
• Experience with library generation, screening, or directed evolution workflows.
• Strong communication skills and experience sharing tools, best practices, and design insights.

Culture & Benefits

• Collaborative, innovative, and science-based working environment.
• Health, dental, vision, life, disability, and flexible spending benefits.
• Retirement and savings plan with company contributions.
• Discretionary annual bonus and stock-based long-term incentives.
• Paid time off, work-life balance support, and career development opportunities.
• Flexible work models where applicable to the role.

Hiring process

• Applications are accepted until a sufficient number of candidates is received or a candidate is selected.
• Visa sponsorship is not guaranteed.