Background: We are a group at gRED Data Science and Statistical Computation with a focus on developing methods and systems to support interactive analysis of genomic data. We have two overarching goals in the group: (a) enable Client science and discovery by building effective and efficient data analysis software systems; and (b) develop new cutting edge visualizations for genomic data analysis that we disseminate as open source software and publications in the scientific literature. We are looking for a Backend engineer to join our group to help with projects in the interactive analysis of large-scale cellular and tissue profiling initiatives using sequencing and imaging technologies.
Responsibilities
" Collaboratively and pragmatically solve scientific software engineering challenges encountered at the forefront of spatial transcriptomics interactive data analysis and visualization.
" Developing highly performant systems capable of querying data from distributed sources to feed data visualization interfaces.
" Work with business analysts, computational scientists, and other software engineers to understand and conceptualize the complex, emerging needs of our scientists, whether they are working at the keyboard or the bench.
" Collaborate with local and off-shore engineering teams to support your software development efforts.
" Contribute to the broader scientific community through open-source software development.
Successful candidates will satisfy many of the following requirements
" 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
" Experience with scientific computing packages - scipy, numpy, pandas and its ecosystem
" Experience using cloud infrastructure (AWS in particular) to establish APIs and data services.
" Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction.
" Biological domain knowledge, specifically in single cell genomics, and basic data analysis skills are desirable but not required.
" Familiarity with formal build/release/deploy and continuous integration frameworks is a plus.
Must have skills required
(a) 3+ years experience (including any graduate school) developing tools in Python for High Performing Computers and cloud solutions.
(b) Expertise with performant file formats for data analysis and scientific computation (e.g., hdf5, zarr, tiledb).
(c) Experience deploying performant software in cloud (AWS) environments
(d) Familiarity with data analysis of single-cell RNA-seq, CITE-Seq or single-cell ATAC-seq is a plus.
Note: This is a replacement role. Incumbent had strong Data Engineer background, well versed in bioinformatics tools and Python.
The role is hybrid - 2 days at the Mississauga Campus