Data Architect
Toronto, Ontario
- Remote-first
- Website
- @BenchSci 𝕏
- Search
BenchSci
BenchSci is a world leader in AI solutions for preclinical R&D. Using proprietary technology, we help decode the complexity of biomedical research.You Will:
- Collaborate with BenchSci engineers, science, and sales folks, as well as engage with client stakeholders, including architects, scientists, and IT staff to design and deliver client data ingestion pipelines from the client system to BenchSci
- Work towards a balanced solution of standardized and scalable ingestion formats as well as meeting customized and unique client needs
- Scale data pipelines to ingest millions of documents from multiple clients throughout the year
- Work with sources that contain both semi-structured and unstructured data
- Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment
- 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
- Integrate security standards and processes into solutions to meet and sustain compliance with both BenchSci and client mandates
- Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility
- Anticipate client needs, identify, and champion opportunities for the development and implementation of new services and methods to meet or exceed client needs
You Have
- A degree in Computer Science/Engineering or a related field
- 5+ years experience working as a software developer with expertise in data ingestion frameworks, and proficiency with SQL and Python
- 3+ years experience working in client-facing or similar Solution Architect roles, particularly in designing client-facing integration and interfacing solutions
- Proficient with data and ML pipelines, ETL, data integration, and data indexing designs and solutions
- Experience with multiple cloud solutions (AWS, GCP, Azure) and on-prem deployments, enterprise data/AI architecture, data/AI governance, security and compliance
- Experience in applying analytical, statistical or data science principles in analyzing volumes of data
- Background in Life Science (cell biology, molecular biology, genetics, immunology, microbiology)
Nice To Have:
- Worked with Electronic Lab Notebook (ELN) systems
- Have worked with or at a pharmaceutical company
About BenchSci:BenchSci'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. Backed 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 Work®, and top-ranked company on Glassdoor.
Our Culture:BenchSci 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. We 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. You 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.
Diversity, 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.
Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI governance Architecture AWS Azure Biology Computer Science Data pipelines Engineering ETL GCP Machine Learning Pharma Pipelines Python Research Security SQL Statistics Unstructured data
Perks/benefits: Career development Equity / stock options Flex vacation Health care Home office stipend Parental leave Startup environment Transparency
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