Senior Software Security Engineer



201-500 employees

Biomedical AI research software

Data & Analytics
AI & Machine Learning



Required Skills
Microsoft Azure
Google Cloud Platform
  • 4+ years working as a software engineer with at least two years of experience in security
  • Experience working with GCP, AWS, or Azure
  • Experience configuring and maintaining cloudIdentity and Access Management policies
  • Experience in dealing with internal/external security audits and penetration tests
  • Experience with any combination of the following: threat modeling experience, secure coding and SDLC practices, OWASP Top 10 application security risks, and network security
  • An understanding of network and web-related protocols (such as TCP/IP, UDP, IPSEC, HTTP, HTTPS, and routing protocols)
  • An understanding of web services and an ability to reason the application code that drives them
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Config Connector
  • Knowledge of industry security frameworks like the CIS Benchmarks or OWASP ASVS
  • A background in security and compliance audits such as GDPR and SOC2
  • Perform cloud security reviews
  • Drive outcomes with stakeholders to improve our cloud security posture
  • Create cloud security guidance and best practices documentation
  • Champion security at BenchSci
  • Maintain and improve the GDPR and SOC2 security compliance tracking and remediation efforts
  • Triage and drive resolutions for security vulnerabilities in our GCP infrastructure
  • Lead security engagements like third-party penetration tests and tabletop exercises
  • Uncover infrastructure and application-level vulnerabilities as part of internal audits
  • Conduct system design reviews and guide engineers in building security into our architecture

BenchSci's mission is to exponentially increase the speed and quality of life-saving research by empowering scientists with the world's most advanced biomedical artificial intelligence. The company is currently building on their success with antibodies to address other critical reagents—including recombinant proteins, siRNAs, and CRISPR tools—as well as model systems such as animal models and cell lines.

Company Stage

Series D

Total Funding



Toronto, Canada



Growth & Insights

6 month growth


1 year growth


2 year growth



Remote-first culture

Equity options

15 days vacation + additional day every year

Unlimited flex time

Comprehensive health & dental benefits

Psychotherapist services

Annual Learning & Development budget

Home office set-up budget

Wellness, lifestyle & productivity spending account