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Full Stack Software Developer

4 months ago


Hinxton, United Kingdom Embl-Ebi Full time

Your role

The role will work across the technical stack to support scaling and automation of deposition and presentation systems for high volumes of biological image data. You will extend and build on EMPIAR’s existing architecture to enable better automation, integrate with EMBL-EBI’s high performance computing and storage resources and develop/implement new functionality, such as extraction of structured metadata from freeform text via LLMs.

A key focus of the role will be developing and integrating systems for interactive visualisation of biological images: we aim to make biology beautiful

Closing date: 14 June 2024

Contract duration: 2 years

Grading: Grade 5 or 6 (monthly salary from £3,090.08 or £3,456.96 after tax) plus benefits

Reference number: EBI02249

Related

You have

You should have a university degree in computer science, life sciences or a related discipline and have several years' experience in a software development capacity.

Specific experience:

Substantial experience developing full stack applications Extensive hands-on experience with Javascript and Python Working with relational databases such as PostGres or MySQL Software development lifecycle, including design, implementation, testing, continuous integration, deployment and version control Working with Linux systems

Personal attributes:

A strong affinity with, and enthusiasm for, the goal of EMBL-EBI to provide world-class open data and services to the global community A strong desire to learn new skills and technologies Excellent communication and interpersonal skills The ability to work both independently and as part of a team

You might also have

Experience working with BioImaging data from one or more modalities Experience developing or integrating image visualisation systems Experience with NoSQL databases, such as MongoDB Experience with batch scheduling systems such as SLURM Experience with containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) Infrastructure-as-code deployment tools such as Ansible or Terraform Experience working in an academic environment