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Backend Python Developer: High-Performance Systems
1 month ago
Background
The Visualization and Interactive Data Analysis group within Groupe SII is a team of scientists and engineers who design and develop interfaces to help scientists better understand data. The group focuses on building high-throughput methods to profile the genome, screen compounds, and collect images rapidly, generating vast amounts of data that enable us to better understand the underlying causes of disease and identify treatments.
However, translating these data into insights to identify drug targets and candidates remains challenging. The sheer size of these data necessitates better techniques to query, explore, and analyze them. Moreover, these datasets are often highly dimensional, requiring the integration of data modalities to understand their meaning.
We combine our passion for visualization, information processing, and user-centered design with expertise in manipulating data to extract scientific insights – plus the engineering skills to bring this vision to life. Working closely with scientists who are experts in a particular disease area, we build easy-to-use tools to enable exploration and interpretation of large, heterogeneous data and analyses.
Responsibilities
Develop and maintain highly performant, scalable systems capable of transforming, analyzing, and querying data from distributed sources to feed data visualization interfaces. Create processes to schedule, execute, and monitor data transformation workflows. Design, implement, and maintain APIs to quickly access data from a web-based application.
Collaboratively and pragmatically solve scientific software engineering challenges within interactive data analysis and visualization. Work with computational scientists, biologists, and other software engineers to elucidate the emerging needs of our scientists, whether they are working at the keyboard or the bench.
Requirements
We are looking for a skilled Python developer with expertise in designing and developing high-performance systems, building and deploying APIs, and maintaining workflow processes. Experience with cloud infrastructure, particularly AWS, and proficiency with cloud-based systems, including S3 buckets, is required.
Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction, is essential. Passion for continuous learning and teaching others is also a must.
