Senior Software Engineer, Authentication & Authorization at BenchSci

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, PharmaceuticalsIndustries

Requirements

A degree in Computer Science/Engineering or a related field within science
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Experience with authentication solutions and SSO
High comfort working with a Python back-end and a React/Typescript front-end
4+ years of experience working as a professional full-stack developer
Nice To Have
Experience with Auth0 or similar Identity as a Service (IDaaS) platform
Experience working with a security-first mindset, including knowledge of OWASP Top 10 vulnerabilities and secure coding practices
Experience with Terraform or other Infrastructure as Code (IaC) tools
Experience with SAML, OAuth 2.0, and OpenID Connect
Experience with RBAC or ABAC authorization models

Responsibilities

Implement new features and bug fixes within our authentication and authorization services
Work with your immediate team engineers to do technical investigations, solution designs, code implementation with automated tests, and code reviews
Lead or consult the authoring of engineering design proposals following our product roadmap at BenchSci
Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects
Adhere to and improve our high standards of highly scalable and maintainable code
Help set a high standard for exceptional engineers who are outcome-oriented and positively contribute to the team's culture
Provide troubleshooting analysis and resolution in a timely manner
Work on projects involving some of the largest pharmaceutical companies in the world
Solve difficult problems and bring new perspectives to the team

Skills

Python

React

TypeScript

AWS

GCP

Azure

SSO

Authentication

Authorization

BenchSci

AI-driven platform for preclinical research

About BenchSci

BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.

Toronto, CanadaHeadquarters

2015Year Founded

$156.6MTotal Funding

SERIES_DCompany Stage

AI & Machine Learning, BiotechnologyIndustries

201-500Employees

Benefits

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

Risks

17% workforce reduction may impact morale and innovation at BenchSci.

Heavy reliance on external funding poses financial risks if future rounds falter.

Rapid team expansion could lead to integration challenges and inefficiencies.

Differentiation

BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.

ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.

BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

Upsides

$95M Series D funding boosts BenchSci's AI platform development and market reach.

Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.

Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

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