Staff Software Engineer, BenchSci

Data

Salary not provided

+ Equity

Spark
Senior level
Remote in Canada
Toronto
BenchSci

AI usage for efficient biomedical research

Be an early applicant

BenchSci

AI usage for efficient biomedical research

201-500 employees

B2BArtificial IntelligenceSaaSScienceMedTech

Be an early applicant

Salary not provided

+ Equity

Spark
Senior level
Remote in Canada
Toronto

201-500 employees

B2BArtificial IntelligenceSaaSScienceMedTech

Company mission

To exponentially increase the speed and quality of life-saving research by empowering scientists with the world's most advanced biomedical artificial intelligence.

Role

Who you are

  • 8+ years of professional development experience, with 2+ years at the Staff level
  • Expertise in data management practices, including approaches to capturing provenance, versioning, and disaster recovery
  • Experience working with secure data, including compliance with regulations like HIPAA and GDPR
  • Expertise with data processing engines such as Apache Beam and Spark
  • Experience working with SaaS products in a fast-paced Agile environment
  • The ability to lead the engineering team towards the decisions they make while minimizing friction
  • The ability to translate business concerns into technical implementations
  • Experience with mentoring technical teams
  • Experience with big data with integrated ML inference transformations
  • The ability to communicate trade-offs in approaches to security, speed to ship, and performance
  • Domain expertise in either machine learning, distributed systems, or cloud infrastructure
  • The ability to provide constructive feedback to other individual contributors while showing a sense of empathy, tact, thoughtfulness, and respect

Desirable

  • Successful delivery of at least one major project in a domain space that is pertinent to BenchSci. Relevant domain areas may include, but are not limited to: machine learning, information retrieval, or distributed systems
  • You have built Generative AI-focused solutions (for example, RAG-based applications or LLM-based extraction pipelines)

What the job involves

  • We are looking for a Staff Engineer, Data to join our growing Engineering Team
  • You will work with key technical team members across the organization to ensure that BenchSci's technical infrastructure and codebase will support long-term growth
  • You will provide technical leadership across several functional areas within the team, lead complex projects, participate in roadmap and project planning, and contribute to BenchSci's data engineering and architecture initiatives
  • The Staff Engineer will help foster the development of other individual contributors, while also playing an important role in helping us scale as we continue to improve scientific discovery
  • Collaborate with multiple teams working on key customer features and our own internal development projects
  • Contribute to setting technical and architectural direction for our Data Engineering teams with a focus on expanding the scope of our products and our ability to make life scientists more effective
  • Drive the architecture of BenchSci to help us handle data more securely
  • Decouple work done by teams to allow for more independent work and smaller feature releases
  • Be involved in all aspects of software development, working to create and maintain the most reliable, secure, performant, and high throughput service for our customers by using the latest cloud technology (this can range from setting high-level technical direction down to implementation)
  • Translate the product vision into tangible technical solutions for execution by engineering teams
  • Be an inspiring mentor to other engineers
  • Be an advocate for us and its engineering team through several channels

Our take

Over the past decade, the cost of bringing a drug to market has increased exponentially while the number of drugs approved has stayed stagnant, leading to a decline in research productivity. Through development of AI-assisted software, BenchSci has allowed scientists to rapidly compute data from scientific journals and product catalogues to dramatically reduce these inefficiencies in the R&D process.

The company offers a lateral solution to traditional, manual data analysis to allow for data leveraging and an automated, comprehensive overview of existing relevant research. These methods have made BenchSci a forerunner in the drug development industry; the company's software is used by leading pharmaceutical companies.

BenchSci continually invests in its machine learning technology, and in January 2023 announced the launch of ASCEND, software that extracts experimental evidence from internal and external sources to create commercially available maps of disease biologies, improving the hit rate of drug trials.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

31% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

May 2023

$70.2m

SERIES D

Jan 2022

$46.6m

SERIES C

Total funding: $161.9m

Company benefits

  • An engaging remote-first culture that hires the best talent from around the world
  • A competitive compensation package that includes BenchSci equity options
  • Comprehensive health and dental benefits with an emphasis on mental health
  • An annual Executive Health Assessment at Medcan for proactive health awareness
  • Three weeks of vacation plus an additional day for every completed year
  • A $2000 Annual Learning & Development budget
  • Generous parental leave benefits with a top-up plan or paid time off options
  • Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
  • A $1000 work from home allowance to make your home setup perfect for you
  • An Oculus Quest 2 to connect with your team members in Virtual Reality
  • An executive coach for managers to assist in leading high-performing teams
  • Complimentary Headspace account to support mental wellness and focus
  • Complimentary genome sequencing from 23andMe to better understand your health through your DNA

Company values

  • Focused advancement
  • Speed
  • Tenacity
  • Transparency

Company HQ

South Core, Toronto, ON

Leadership

Dr. Elvis Wianda

(Chief Data Officer)

Obtained a PhD studying Health & Medical Physics at the University of Toronto before joining BenchSci.

Previously held roles within the University of Toronto as a Research Assistant and Postdoctoral Fellow.

Previously co-founded and held role as CEO at companies including Standy and Biz-Coupon. Currently a CDL Associate at Creative Destruction Lab.

Salary benchmarks

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Diversity, Equity & Inclusion at BenchSci

  • Foundational DEI workshops around anti-bias, empathy, allyship, microaggressions, and discrimination
  • Inclusive leadership training for all managers and open to all team members
  • Inclusive hiring training for hiring managers and recruiters
  • A centralized resource of information that promotes inclusivity
  • Company-wide access to Crescendo to equip team members with customized learning paths that are tailored to their current knowledge levels
  • Acknowledging and celebrating important and commemorative dates
  • Building a group of DEI sponsors to support and encourage company-wide engagement around DEI conversations
  • Holding DEI “Office Hours” for supporting individuals and teams who have questions or are seeking support with how to embed DEI into their work
  • Restructuring our recruitment processes to ensure we are mitigating bias at every step of the hiring process
  • Launching BenchSci Forward, our platform for change focused on the advancement of social issues such as diversity in STEM, mental health, and climate change
  • Providing flexible parental leave, with the option of 75% top-ups for 20 weeks or 15 designated Parental Leave Days
  • Providing mental health benefits for all team members, including mental wellness coverage up to $2,500, personalized executive coaching, regular mindfulness sessions, and extra vacation time
  • Conducting a pay fairness analysis to ensure our compensation practices are equitable

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