Systems Engineer III (Research) (Medical Imaging)

Location: San Francisco, California, United States

Salary: $150,000–$185,000 base compensation annually, plus bonus and equity.

Company

hirify.global is a publicly traded medical technology company developing AI-driven, non-invasive cardiac diagnostics for coronary artery disease.

What you will do

• Own research data campaigns from planning and sample selection through annotation, quality review, and delivery.
• Define labeling objectives, annotation schemas, inclusion criteria, and acceptance criteria with Data and Research Scientists.
• Design reproducible annotation workflows covering data ingestion, schema mapping, ontology validation, and dataset delivery.
• Measure ground-truth quality, reproducibility, agreement, and annotation reliability.
• Translate research initiatives into data requirements and coordinate dependencies, priorities, timelines, and resources.
• Collaborate with Data Science, Research, Process Engineering, Product, Clinical, and Regulatory teams.

Requirements

• Bachelor’s or Master’s degree in Systems Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field; Ph.D. preferred.
• 5+ years of industry experience in research, systems engineering, or a related field, ideally in medical imaging, medical devices, or another regulated domain.
• Experience translating complex research needs into executable programs and delivering complete, documented outputs.
• Knowledge of reproducibility, agreement, error detection, and data or experiment quality methods.
• Understanding of medical image data structures and workflows, including DICOM, and the clinical challenges of annotation.
• Proficiency in Python and SQL for building and validating data pipelines, computing quality metrics, and documenting datasets.

Nice to have

• Experience running annotation or ground-truth campaigns for medical imaging AI, especially CT or cardiovascular imaging.
• Familiarity with intraclass correlation, Bland-Altman analysis, and other agreement statistics.
• Experience with large-scale SQL querying and cloud storage such as AWS.

Culture & Benefits

• Work on AI-driven cardiac care products used internationally.
• Collaborate across research, engineering, clinical, product, and regulatory functions.
• Compensation includes base salary, bonus, and equity.
• Equal opportunity work environment committed to supporting and respecting all individuals.