BS or equivalent in Computer Science or related field
Background in life sciences is ideal but any science research or lab experience can be considered
3+ years’ experience developing python web applications using Django framework and packages
College science courses in science (i.e. Chemistry Biology, Engineering), or experience with lab work
Excellent verbal and written communication skills.
Knowledge of async backend process (such as job scheduler, data parser) and API for integration.
Working experience with the unit testing and code refactoring are ideal
Knowledge of agile software development paradigms and object-oriented programming
Working experience with version control, Git, Docker, linux desired
Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, software developers, etc.) and internal scientists (biologists, chemists, manufacturing, operations, etc.)
Ability to work independently and ability to multi-task and meet timelines
A self-motivated learner and thinker with a hands-on approach
2+ years of Python Django framework
Basic science background or lab experience
Good verbal and written communication skill
Description:
The Position is in the Data Platforms group within the Information Research (IR) Division. This position will work with a team of research scientists and application data scientists. The mission is to support, as well as implement features and functions into our internal application which captures, processes and analyses scientific data. This application helps scientific teams make decisions about key data, and accelerate projects and pipeline assets.
We are looking for an experienced python Django web developer to join an agile software development team working on this web-based application. The ideal candidate will have good knowledge of the Django framework, as well as supporting libraries. It is important for the candidate to a science background or lab experience as we are looking for an individual who can understand the research workflow and key requirements. Strong verbal and written communication skills are also required.
Key responsibilities include understanding scientific business requirements and implementing them either independently, or with a team, into the application. Additional responsibilities include supporting the application, designing new function/modules, integrating the application with other systems via APIs, and performing code refactoring to improve performance/supportability.