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Seqera is on a mission to empower scientists and organizations to solve humanity’s biggest challenges through data-driven science. As the company behind Nextflow and the Seqera Platform, we enable global enterprises, biotech innovators, academic institutions, and public sector organizations to scale complex data workflows with confidence.
We’re a global, remote-friendly team with headquarters in Barcelona and colleagues across the US, UK, and beyond.
Your mission will be to:
Create robust and reproducible scientific workflows using Nextflow - making them available to customers to analyze and visualize data.
Develop and deliver solutions to increase adoption of Seqera products in the customer base.
Develop, deploy, and maintain cloud data infrastructures capable of processing data related to next-generation sequencing (NGS), imaging analysis, machine learning, and related large datasets.
Understand the biological application and scientific needs underlying relevant scientific workflows.
Clearly communicate updates on services delivery, including project plans, requirements, deliverables, documentation, and training, through both writing and presentations.
Engage with customers on requirements, developing project deliverables and coordinating the execution of projects.
Train customers to use Seqera products.
Represent the voice of the customer and collaborate internally with content, research, and software development teams.
About you
Strong knowledge of the Nextflow language and the pipeline development approaches adopted by nf-core.
Experience with programming in languages such as Groovy, Python, and R.
Ability to effectively communicate and clearly explain technology to different audiences, through code, writing, presentations, and demos.
Use of AI for software development and scientific analysis.
Use of Git or other version control systems in a software development environment.
In-depth experience with analysis pipelines and algorithms for a variety of ‘omics’ data types, such as genomics, proteomics, metabolomics, etc.
Experience with HPC and public cloud (AWS, Google Cloud, Azure) architectures and a willingness to learn more.
A customer-oriented attitude, someone who enjoys working with others and helping find solutions.
Nice to have:
A PhD in bioinformatics or a relevant field or a Masters with 3+ years of experience.
4+ years of experience relevant to scientific workflows and software development.
Experience with orchestrated and maintained data infrastructures and scalable pipelines for large datasets.
A solid track record of production-level code in bioinformatics as evidenced by public code repositories, publications, contributions to open source.
Your unique set of skills are:
Self-motivated and a proactive thinker – can work independently and in teams.
Great interpersonal and communication skills.
Critical thinking and problem-solving skills.
An eye for detail and well-organized.
Creativity and curiosity across all solutions given to clients.
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Seqera
View Company ProfileSeqera (operating at seqera.io) is a bioinformatics and scientific workflow automation platform engineered for enterprise-grade data management and reproducibility in life sciences. Founded in 2018 as a spinout from the Nextflow research environment, Seqera consolidates fragmented data and diverse computing resources into a unified platform trusted by over 150 leading life science organizations, including AstraZeneca, Roche, and Johnson & Johnson. Under the hood, the platform leverages Nextflow’s open-source workflow technology, augmented with enterprise-grade orchestration, real-time monitoring, and AI-driven capabilities like Co-Scientist, which autonomously executes scientific analysis at scale. This allows researchers and lab scientists to accelerate pipeline development (up to 4x faster), reduce data delivery times by 50%, and maintain full data sovereignty and traceability throughout the research lifecycle. Backed by $55.7M in funding across three rounds, including a $26.0M Series B in May 2025, Seqera positions itself as the backbone for modern biotech and genomics workflows.
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