Overview
BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
BenchSci’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.
Backed 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 Work®, and top-ranked company on Glassdoor.
We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. On the BenchSci Data team, you will work with a group of talented and passionate engineers as you play a key role in shaping the future of scientific discovery and progress.
You will:
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- Scale data pipelines to allow our data to go from research to platform as fast as possible
- Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
- Develop data access mechanisms for downstream applications consumption
- Expand the types of biological reagents and experiments that we can successfully extract from various types of media
- Manage sources that contain both semi-structured and unstructured data
- Apply state-of-the-art data processing engines to rapidly process our data sets
- Employ best practices for a broad platform of technologies within a cloud-based environment
- 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
- Have opportunities to work both independently and in pair-programming settings
You have:
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- 5+ years of experience working as a professional developer
- Expertise with Python and SQL
- Experience with cloud reference architectures and developing specialized stacks on cloud services
- Experience with data processing engines (we use Beam)
- A strong background in data structures and large-scale data manipulation
- Familiarity with information retrieval theory and practical applications of it
- Strong cross-team communication and collaboration skills
Nice to haves, but not mandatory qualifications:
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- Work or academic experience in the life sciences
- Experience with Kubernetes in production
- Experience with Infrastructure-as-code
- Experience with technical design and applying architectural patterns
- Experience with statistical analysis of large datasets