# Research Software Engineer - Generative Biology Institute at Ellison Institute of Technology

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> Responsibilities: - Design, build and operate software and d

- **Company:** Ellison Institute of Technology (https://jobs.trythestack.co/companies/ellison-institute-of-technology)
- **Location:** Oxford, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Julia, Rust, C/C++, Java, Cloud Infrastructure, High-Performance Computing, Data Engineering, CI/CD, Containerization, GPU Optimization, Machine Learning Frameworks, Workflow Management Systems, Biomedical Data Analysis, Software Architecture, Version Control
- **Posted by employer:** 2026-05-22
- **Added to The Stack:** 2026-05-22
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.workable.com/view/fVVDYW5wnMMC7EdF5VRVSr/research-software-engineer---generative-biology-institute-in-oxford-at-ellison-institute-of-technology (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/research-software-engineer-generative-biology-institute-ellison-institute-of-technology

## About the role

Responsibilities:
- Design, build and operate software and data systems to support large-scale engineering biology research.
- Develop data collection, ingestion and ETL workflows for sequencing, mass spec and automation platforms.
- Implement cloud-native and HPC infrastructure; containerize workloads and optimize GPU and CPU performance.
- Author reproducible scientific pipelines (Nextflow/Snakemake/CWL/WDL) and integrate with schedulers (Slurm, MPI).
- Build CI/CD, infrastructure-as-code and monitoring for scientific applications to ensure reliability and reproducibility.
- Collaborate with scientists, core facilities and engineers to translate experiments into production-ready systems.
- Maintain code quality, version control and documentation to enable team-wide reuse and auditability.

Requirements:
- Degree in Computer Science, Computational Biology, Engineering or related discipline.
- Proficiency in at least one major language (Python, Julia, Rust, C/C++, Java) and experience in scientific software development.
- Practical experience with cloud platforms (AWS/GCP/Azure), containers (Docker/OCI), orchestration (Kubernetes) and IaC.
- Familiarity with HPC environments, GPU optimization (CUDA/OpenMP), workflow managers and large-scale data engineering.
- Strong problem-solving, communication skills and a commitment to reproducible, well-tested code.

## Responsibilities

Design, build, and operate software and data systems to support large-scale biomedical research in engineering biology. This includes developing data collection workflows, cloud-based infrastructure, and optimizing computational workloads on HPC environments.

## Requirements

Requires a degree in Computer Science, Computational Biology, or Engineering with proficiency in at least one major programming language. Experience in scientific software development, HPC, and modern software engineering practices is highly desirable.

## FAQ

- **Is this Research Software Engineer - Generative Biology Institute role still open?** It was posted on 2026-05-22. Listings more than 30 days old may no longer be active, so check Ellison Institute of Technology's site before applying.
- **Does Ellison Institute of Technology offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Ellison Institute of Technology's site.
- **Where is this role located?** The listing gives the location as Oxford, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Julia, Rust, C/C++, Java, Cloud Infrastructure, High-Performance Computing, Data Engineering, CI/CD, Containerization, GPU Optimization, Machine Learning Frameworks, Workflow Management Systems, Biomedical Data Analysis, Software Architecture, Version Control.

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