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Python Backend Software Engineer

1 mese fa

Re, Italia Godspeed Workforce A tempo pieno

Title: Python Backend Software Engineer

Location: Canada

Work Location: Remote

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

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.

Description:

Background

The Visualization and Interactive Data Analysis group within gRED Computational Catalysts is a group of scientists and engineers who build interfaces to help scientists better understand data. The development of high throughput methods to profile the genome screen compounds and automatically collect images rapidly generates 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 usercentered 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 easytouse tools to enable exploration and interpretation of large heterogeneous data and analyses. We also develop and share new methods to visualize and interact with data. Within this group youll lead backend engineering design and development to quickly access large amounts of data within interactive visualization applications.

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

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 webbased 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
  • Collaborate with distributed scientific and engineering teams to support your software development efforts
  • Contribute to the broader scientific community through opensource software development

Required Qualifications

  • BS or higher in Bioinformatics Computer Science or related fields
  • Expertise (5 years of experience) in Python designing and developing highperformance 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 onpremise 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 cloudbased 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.

Nicetohaves

  • 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.)