\nBenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. \n\n\nBacked by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Workยฎ, and top-ranked company on Glassdoor.\n\n\nWe are looking for a Director of Engineering to join our Platform team. Reporting to the SVP of Technology, you will oversee and lead data processing efforts and apply your machine learning and data engineering expertise to build a solid semantic data foundation at scale. Additionally, you will leverage the latest technology and architecture patterns to enable scalable and cost-effective operations and delivery.\n\n\n\nYou Will:\n* Lead multiple engineering teams (total of 20+ engineers) to ensure timely and successful project delivery\n* Establish and implement best practices for large data processing and ML/LLM operations \n* Leverage machine learning techniques to develop data-driven GenAI solutions to help accelerate pre-clinical R&D \n* Monitor the latest tech trends with GenAI, data architecture, and cloud computing\n* Lead the team to assess and adopt the most viable tech to analyze images and process natural language text data across thousands of academic papers\n* Build and scale data and ML pipelines using best engineering practices to process millions of research papers, ontological sources, and customersโ internal data \n* Build and deliver a strong semantic data foundation capturing structured scientific knowledge, with quality and at a speed\n* Implement scalable CI/CD for data and ML pipelines and monitor and tune performance in production\n\n\n\nYou Have:\n* Strong foundation in core software engineering principles and SDLC methodologies\n* Experience with data engineering and modern data architecture, including big data technologies such as ETL and data analytics or search (e.g. Elasticsearch) solutions\n* Experience with knowledge engineering and delivering large-volume data products for business needs\n* A solid grasp of data governance, data operations, quality assurance, and data engineering best practices\n* Familiarity with event-driven architecture and incremental data processing\n* Knowledge of workflow orchestration and data/ML operations tooling such as Airflow, DataFlow, Vertex.ai, etc.\n* Experience with SQL and NoSQL tech stacks and top massive parallel processing solutions such as Databricks, Snowflake, and BigQuery\n* Understanding CI/CD methodologies to ensure data and ML pipelines are running well with an emphasis on stability and observability to ensure scalable data pipelines\n\n\n\n\n\nBenefits and Perks: \nAn engaging remote-first culture \nA great compensation package that includes BenchSci equity options\nA robust vacation policy plus an additional vacation day every year\nCompany closures for 14 more days throughout the year\nFlex time for sick days, personal days, and religious holidays\nComprehensive health and dental benefits.\nAnnual learning & development budget\nA one-time home office set-up budget to use upon joining BenchSci\nAn annual lifestyle spending account allowance\nGenerous parental leave benefits with a top-up plan or paid time off options\nThe ability to save for your retirement coupled with a company match!\n\n\nAbout BenchSci:\nBenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. \nBacked by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Workยฎ, and top-ranked company on Glassdoor. \n\n\nOur Culture:\nBenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. \nWe value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. \nYou will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.\n\n\nDiversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.\n\n\nAccessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to
[email protected].\n\n\n#LI-Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Cloud and NoSQL jobs that are similar:\n\n
$52,500 — $87,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n
\n\n#Location\nToronto, Ontario