Scientific Data Engineer (AI)

Location: On-site in the San Francisco Bay Area, United States

Salary: $185,000–$225,000 annually plus equity

Company

hirify.global is a frontier research lab developing brain-computer interfaces that combine high-bandwidth neural interaction with advanced AI.

What you will do

• Design, implement, and maintain reusable Python libraries for scientific and image analysis, including quality control.
• Build and operate reproducible analysis pipelines integrated with workflow-management and scientific data systems.
• Define data models for raw data, experimental metadata, derived results, and analysis provenance across in vitro and in vivo assays.
• Partner with wet-lab and computational scientists to turn evolving research questions into validated methods and maintainable software.
• Establish testing, validation, versioning, observability, and failure-handling practices for scientific workflows.
• Evaluate external tools, make build-versus-buy decisions, and balance immediate experimental needs with scalable shared infrastructure.

Requirements

• Strong software engineering experience in Python, including API design, testing, packaging, code review, and collaborative Git development.
• Experience designing and implementing image-analysis pipelines for scientific data.
• Rigorous scientific-computing practices covering quantitative validation, quality control, reproducibility, provenance, and failure modes.
• Experience with workflow orchestration systems such as Dagster, Prefect, or Airflow.
• Experience collaborating directly with wet-lab scientists and translating ambiguous needs into scientifically valid solutions.
• Ability to independently break down ambiguous work, identify risks, and deliver important projects.

Nice to have

• Experience with Bazel or another large monorepo build system.
• Experience with next-generation sequencing, spatial omics, ultrasound, or other scientific data modalities.
• Experience in an early-stage or rapidly changing research environment.

Culture & Benefits

• On-site work in the San Francisco Bay Area.
• Full-time employment with equity compensation.
• Collaboration across software engineering, scientific research, wet-lab, and computational teams.
• Work on brain-computer interface research integrating biology and AI.