Calico

Software Engineer (Contract/Remote)

Calico

Remote job description

Calico is a research and development company whose mission is to understand the biology of aging and devise interventions that enable longer and healthier lives. Executing this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.

Position description:

Calico is looking for a part-time software engineer (contractor) who is passionate about developing web applications for visualizing, sharing and reusing biological data. The successful candidate will be responsible for designing and building a public website for an ongoing project. The primary goal of the website is to provide the scientific community with access to a large-scale dataset using specialized searching, browsing and visualization tools. To achieve this goal, the developer will work in close collaboration with the project leader, a UI/UX expert, a data curator and several data analysts.

Requirements:

  • 3+ years of experience with Python, Django and SQL databases
  • 3+ years of experience with interactive data visualizations for the web, including libraries such as Plotly, D3.js or others
  • Fluency with software best practices (e.g., unit tests, self-documenting code), distributed version control (e.g., git) and issue tracking
  • Good understanding of biology, especially functional genomics
  • Ability to communicate, take feedback and iterate
  • Demonstrated ability to create high-quality product within budget and timelines

Nice to have:

  • Experience with Google Cloud storage and computing environments
  • Experience with biological databases (e.g., SGD, BioGRID, Gene Ontology), data cross-referencing and integration

Other details:

  • Hourly rates commensurate with experience
  • Flexible schedule with a minimum of 10 hours/week
  • Estimated work volume: 320 hours, with possibility of extension
  • Remote work welcome


Summary
Calico
Software Engineer (Contract/Remote) at Calico

Tags: SQL, Python, Django

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