Backend Bioinformatics Engineer (H/F)

• Develop and maintain production bioinformatics pipelines (e.g., FASTQ * BAM, BAM * VCF, VCF * annotated VCF) with a high standard of quality, reproducibility, and robustness.
• Contribute to major refactoring initiatives (e.g., modularization, standardization, pipeline tracing, and performance optimization).
• Build and maintain testing and validation capabilities (test datasets, QA reports, regression testing, automation).

2. Backend & APIs (Platform / Service Orientation)

• Design and implement orchestration and backend components for distributed analysis execution: job scheduling, dependency management, launching, tracking, and exposing outputs (e.g., APIs/endpoints, internal services, asynchronous jobs).
• Improve observability (logs, Prometheus metrics, Grafana dashboards, trace collection) and maintainability(clean architecture, managing technical debt).
• Collaborate with DevOps/Infra on CI/CD, Cloud execution, and resource management.

3. Interfaces & Coordination (Subsystem Responsibilities)

• Work closely with stream-aligned teams and other subsystems (e.g., Knowledge, AI Core, BioScience) on interface contracts: inputs/outputs, SLAs, formats, versioning.
• Maintain a clear technical backlog (e.g., Notion/GitLab) with concise, pragmatic specs and consistent prioritization.

Expected Deliverables (Examples)

• Stable, tested, observable pipelines with controlled turnaround time (TAT).
• Reusable validation assets: test datasets + QA reports + validation plans.
• Documented, versioned backend APIs/services with monitoring in place.
• High-quality documentation and traces aligned with quality/regulatory expectations.

Do you have experience in PostgreSQL?, * Strong mastery of NGS concepts and formats (FASTQ/BAM/VCF, annotation, QC, reproducibility).

• Ability to investigate discrepancies (data, algorithm, implementation) and deliver robust fixes.
• Experience with Nextflow or similar workflow engines.

Backend Engineering (Key Target of the Role)

• Experience designing backend services (APIs, async processing, orchestration, queues/jobs).
• Solid software engineering practices (testing, CI, refactoring, pragmatic design).
• Strong production mindset: performance, observability, reliability.
• Familiarity with database optimization (e.g., Cassandra, PostgreSQL) and time-series data, metrics storage, or observability data pipelines.

Collaboration & Organization

• Clear communication across interfaces, dependencies, and trade-offs.

Profile

• Degree in bioinformatics / computer science / related field.
• Significant experience in production environments (pipelines + software engineering).
• Hybrid profile: scientific rigor in approach, engineering excellence in execution.

Nice to Have

• Knowledge of regulatory/RAQA requirements in production systems.