Role : Python Backend Software Engineer

Location: Remote (Canada )

Job Type - Contract

Project Duration: 1 year, with possible extension based on performance.

Must have Biotechnology, Pharmaceutical, LifeScience

Note: As the team is distributed between US (San Francisco) and Canada (Vancouver) the successful candidate should work in the Eastern or Pacific Time Zone.

Required Qualifications

BS or higher in Bioinformatics, Computer Science or related fields
Expertise (5+ years of experience) in Python, designing and developing high-performance systems & package development
Expertise in building, deploying, maintaining, and monitoring APIs
Expertise in designing, running, and maintaining workflow processes, containers, schedulers, and systems in an on-premise server and in the cloud
Experience with new and efficient file formats for large data
Experience with scientific computing packages (SciPy, NumPy, pandas, etc.)
Proficiency with cloud infrastructure, particularly AWS, to establish APIs and data services or databases
Expertise in storing and extracting large amounts of data via cloud-based systems, including S3 buckets
Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction
Passion for continuous learning and teaching others
As the team is distributed between the US and Canada, the successful candidate should work in the Eastern or Pacific Time Zone.

Nice-to-haves

Familiarity with formal build/release/deploy and continuous integration frameworks
Kubernetes, AWS Lambda, and any other FaaS or containerized workloads experience
Maintaining deployment infrastructure (reproducible, and IaaS), monitoring of events, and system maintenance
Data wrangling, processing, and analysis in Python and/or R
Biological domain knowledge, specifically in single cell genomics
Familiarity with Multi Assay Experiment and other representations of biological information
Experience building interactive visualization applications using modern frameworks and technologies (e.g., React, Vue, Svelte; D3.js, WebGL)
Building interactive data apps in R and Python (Shiny, Streamlit, etc.)

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Python Backend Software Engineer