Staff Software Engineer - Science

Staff Software Engineer – Science

8+ years of relevant software experience
Strong fundamentals in systems design, data structures, algorithms, and object oriented programming principles.
Past experience with data processing and orchestration pipelines, such as Argo Workflows, Databricks
Solid experience with object oriented programming languages and scripting languages, such as Java, C++, Python, Golang, etc.
Past experience with big data.
Some experience with infrastructure and automation tools, such as Kubernetes, Terraform, AWS.
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn a new science domain.
Experience working in a multidisciplinary environment (engineering, product, design)

Develop end-to-end, robust data pipeline architectures that seamlessly integrate data ingestion, preprocessing, feature engineering, model training, and deployment.
Implement scalable data warehousing solutions to handle massive volumes of single-cell transcriptomics data and imaging data.
Ensure data security and compliance with industry standards and regulations.
Implement optimization strategies such as data partitioning, indexing, and compression to enhance query performance and reduce computational costs.
Create user-friendly APIs to enable researchers and scientists to easily access and explore the curated data.
Develop scalable, maintainable, and testable software systems and participate in team conversations and efforts on engineering excellence.
Collaborate with product managers, computational biologists, UX designers, and other software engineers to deliver constant incremental value for scientists without compromising on software quality.