S
Bioinformatics Engineer - Customer Engagement
Seqera
Contract type
Ongoing
Work mode
100% remote
Experience
3 years
Job description
Key details
- Act as a trusted technical partner to a portfolio of Seqera's largest enterprise customers across big pharma, building strong relationships and driving engagement and adoption of our products (Seqera Platform, Nextflow, Studios, Fusion, and Wave)
- Work directly inside customer environments to help them deploy, scale, and get value from Seqera products across cloud and HPC, troubleshooting real technical challenges alongside their scientists and engineers
- Support the health of strategic accounts, helping to drive retention and expansion by surfacing risks early, demonstrating ongoing value, and working closely with the account and commercial teams
- Deliver scoped technical work through Services engagements with these accounts, such as onboarding, pipeline optimization, custom workflow support, and best-practice guidance
- Run and support customer touchpoints including technical syncs, product upgrades, proofs of concept, and workshops, building deep product expertise to give clear, credible guidance
- Explain technical concepts and communicate findings clearly across the full range of customer audiences, from DevOps and technical teams to bioinformaticians, wet-lab users, and senior stakeholders
- Collaborate across the wider Customer Experience team (Pre-Sales, Services, and Support) and partner with Product and R&D, acting as the voice of the customer to help shape the roadmap
- Contribute to the team's engagement tooling and knowledge base, helping to track account health and move the team toward more proactive, data-driven customer engagement
- Company mission
- Information not specified
Primary stack
Core technologies
Python (Programming Language)DockerAWSGoogle Cloud Platform (GCP)AzureKubernetes
Benefits
- Information not specified
Requirements & details
- Bachelor's or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field
- Hands-on experience developing and running Nextflow pipelines (nf-core and/or custom) in an academic or professional setting
- Comfortable working in a Linux command-line environment and scripting with Bash and/or Python
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), with a willingness to go deeper
- Experience using Git/GitHub for code management
- A genuine customer-oriented attitude: you enjoy building relationships, understanding what customers need, and helping them succeed
- Self-motivated and a proactive thinker who can work independently and as part of a team, comfortable juggling multiple accounts and priorities in a fast-moving environment
- Great interpersonal and communication skills, able to explain technical concepts clearly to scientists, engineers, and less technical stakeholders
- A critical thinker with strong problem-solving skills
- An eye for detail and well organized
- Creativity and curiosity across all the solutions you provide to clients
- Experience working directly with enterprise customers, ideally in pharma, biotech, or life sciences
- Exposure to NGS and other omics data types (e.g. RNA-seq, ATAC-seq, genomics) and common bioinformatics tools
- Familiarity with how HPC schedulers (e.g. Slurm) or cloud batch systems work
- Experience delivering scoped professional or expert services engagements
- Use of AI tools, frameworks, or workflows in a bioinformatics or software-development context
- Awareness of working in GxP or other regulated environments
- Nextflow, Python, Bash, AWS, GCP, Azure, Docker, Kubernetes, Git, GitHub
- Python (Programming Language)
- Docker
- AWS
- Google Cloud Platform (GCP)
- Azure
- Kubernetes