AI Scientist (AI Molecular Design)

Location: Fully remote from the United States; listed location: Austin, Texas

Annual salary: $134,000–$161,000 USD, plus eligible bonus/incentive pay.

Company

hirify.global is a science and technology company operating across life sciences, diagnostics, and biotechnology through more than 15 businesses.

What you will do

• Develop and deploy ML/AI models supporting molecular design initiatives, including protein and binder design, mRNA optimization, and antibody optimization.
• Evaluate and apply algorithms, ML/AI tools, and frameworks to implement molecular design solutions.
• Collaborate with geographically distributed cross-functional and experimental teams across operating companies and the enterprise.
• Drive data integrity and standardization across the assay-to-AI pipeline, coordinating assay scheduling, execution, data quality control, and reporting.
• Document workflows and findings and support the integration of AI solutions into production environments.
• Stay current with advances in AI and machine learning relevant to molecular design.

Requirements

• Master’s degree or PhD in Computational Biology, Computer Science, Physics, Applied Math, or a related quantitative field, with on-the-job experience in a relevant technical discipline.
• Hands-on coding and analysis experience with Python and machine learning frameworks including Scikit-learn, PyTorch, TensorFlow, and RDKit.
• Ability to develop, implement, test, and apply novel or adapted algorithms through original coding to solve complex business problems and translate requirements into scalable, production-ready software.
• Deep understanding of protein structure prediction and design algorithms, with experience modifying, extending, or improving tools such as Chai-1, Boltz-2, BindCraft, BoltzGen, Mosaic, or Proteina Complexa.
• Experience with wet-lab validation of AI designs, including DMTA cycles and using wet-lab data to train AI models for hit optimization, particularly in antibody or VHH discovery.

Nice to have

• Experience in life sciences, diagnostics, or biotechnology within cross-functional teams.
• Working proficiency with agentic frameworks such as LangChain or LangGraph and large language model APIs from Hugging Face, OpenAI, or Anthropic.
• Knowledge of NGS sequence analysis.

Culture & Benefits

• Fully remote work arrangement from the employee’s home for eligible roles.
• Comprehensive benefits including paid time off, medical, dental, and vision insurance, and 401(k).
• Equal opportunity workplace with reasonable accommodation support for candidates and employees with disabilities.
• Culture focused on continuous improvement, belonging, internal development, and cross-functional collaboration.