Software Developer (BI with Qlik Sense/View) focused on operational support at Hitss. Engaging in data integration, performance monitoring, and user assistance.
EO
Hybrid Research Software Engineer, Generative Biology
Posted 4 months ago
About the role
- Research Software Engineer at the Generative Biology Institute developing software solutions for biological research. Collaborating with scientists to optimize computational workflows and advance scientific goals.
Responsibilities
- Design and develop high-performance, maintainable, and reusable research software to support large-scale biological and biomedical data analysis.
- Collaborate with researchers to translate scientific requirements into robust computational solutions and production-grade tools.
- Build and optimize AI and scientific data processing pipelines, using modern workflow management systems (e.g., Nextflow, Snakemake, CWL, WDL, etc).
- Implement software engineering best practices, including version control (Git, CI/CD), testing, continuous integration, and documentation.
- Benchmark, profile, and optimize computational workloads for maximum performance, scalability, and efficient use of HPC and cloud environments.
- Work closely with the HPC team to ensure seamless deployment and scaling of applications across on-premise and hybrid infrastructures.
- Support reproducibility and transparency in research through containerization (Singularity, Docker, etc) and workflow orchestration (Nextflow, Kubernetes, OpenHPC, etc).
- Contribute to long-term software and infrastructure strategy in alignment with the Head of Scientific Compute.
- Additional responsibilities at the senior level: Collaborate with GBI staff to research novel compute platforms (e.g. novel ASICs, or Quantum Computers).
- Lead research and development into novel scientific workflow technologies (such as cloud-aware workflow schedulers, scientific data management solutions, quantum algorithms, etc)
- Develop APIs, services, and data interfaces that enable interoperability between systems and research platforms.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computational Biology, Engineering, or a related field (PhD desirable)
- 3+ years (5+ years at the senior level) of professional experience in software engineering, preferably within a scientific or research environment.
- Ability to work closely with multidisciplinary research teams to deliver computational tools that advance scientific goals.
- Strong communication skills for explaining technical concepts to scientific audiences and non-specialists alike.
- Proven track record of mentoring, collaboration, or technical leadership in research computing projects.
- At the regular level: Experience working with workflow management systems (Nextflow, Snakemake, CWL, or WDL).
- Experience integrating software into HPC or cloud environments (AWS, GCP, Azure, or hybrid systems).
- Understanding of scientific computing, or data science workflows.
- At the senior level: Familiarity with parallel and distributed computing frameworks and techniques (MPI, CUDA, OpenMP, etc).
- Extensive experience working with workflow management systems (Nextflow, Snakemake, CWL, or WDL).
- Experience with bioinformatics, computational biology, scientific computing, or data science workflows.
- At all levels: Proficiency in one or more key programming languages (e.g., Python, Julia, C/C++, Java, or Rust).
- Proven experience developing software for scientific research, data analysis, or computational biology.
- Strong understanding of modern software engineering practices, including CI/CD, testing, and containerization.
Benefits
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electrical Car Scheme
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Software Engineer overseeing software engineering practices at Capgemini. Applying scientific methods to solve software engineering problems and responsible for the development of software solutions.
Software Engineer developing, maintaining, and optimizing software solutions/applications at Capgemini. Collaborating with other engineers and solving complex software problems in a team environment.
Staff Engineer, Hardware Design developing electrical systems for product development at Celestica. Leading technical solutions for complex projects involving cross - functional teams in multiple domains.
Senior Software Engineer at NetApp designing and implementing StorageGRID object storage solutions. Collaborating in a flexible hybrid work environment to tackle challenges in AI data lakes.
Senior Software Engineer developing AWS cloud compatible StorageGRID object storage at NetApp. Involves architecture, development, and mentoring within a flexible hybrid work environment.
Senior Software Engineer leading the design and implementation of cutting - edge data - centric architectures at Xcelerate Solutions. Utilizing cloud computing, AI, and machine learning in a mission - driven environment.
Senior Backend Engineer responsible for developing scalable backend solutions in Java at Bazaarvoice. Collaborating with cross - functional teams to optimize services for high consumer interaction.
Senior Java Developer at dLocal responsible for creating robust payment solutions in a dynamic fintech environment with a focus on high performance and innovation.
Engineer III building scalable solutions within trading engineering for Fanatics' sports platform. Contributing to real - time systems and collaborating with cross - functional teams in a dynamic environment.