Responsibilities for this position will include:
Design, development, and deployment of modern data applications.
Analysis, refactoring and adaptation of legacy code to conform to new architecture designs.
Debugging, testing, troubleshooting.
The candidate should have experience working with Python, document databases (e.g. MongoDB), search and data access tools (e.g., ElasticSearch and GraphQL).
Scientific background in any of the following areas would be considered a major plus: Molecular Biology, Bioinformatics, Biochemistry, Chemistry, Genomics.
Experience working with large and complex scientific datasets would also be considered a plus.
While a scientific background is not an absolute requirement for the position, the candidate should indicate an interest in engaging with scientists and scientific content, and in working in an academic/research environment.
PhD or Masters degree in Computer Science, Biochemistry, Bioinformatics, or a related discipline, or a comparable combination of education and experience developing modern scientific data applications.
Excellent interpersonal, verbal, and written communication skills.