Vacancy expired!
- Creating performant, user-friendly and interoperable implementations of Data science tooling for algorithms and statistical development for genomics data analysis.
- Developing end-to-end workflows for statistical analyses of genomics data, typically spanning multiple software tools and methods.
- Contributing to the development of user-friendly data structures to represent new data modalities in interactive analysis environments.
- Collaborating with key stakeholders for development of bespoke analysis pipelines in emerging scientific domains.
- Successful candidates will meet many of the following requirements:
- MS or PhD in bioinformatics, biology, statistics, or computer science field
- High level of proficiency in a high-level data science language like R or Python, including development of reusable packages/modules
- Experience with bioinformatics frameworks like Bioconductor or scipy/numpy
- Strong statistical software engineering skills and Unix/Linux proficiency
- Experience with deploying workflows on shared high-performance and/or cloud computing environments
- Experience with standard bioinformatics workflows (e.g, read alignment, quantification, differential gene expression, single-cell analyses)
- Manager Note: This is software engineering with emphasis in scientific application development and support
Vacancy expired!