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NGS Specialist

Paris, France

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About Biomemory  🧬About the jobAbout youGood to know 💡

About Biomemory  🧬

Global data creation is exploding. Only 30% of the world’s data is durably stored. Data centers already consume around 2% of global electricity. As volumes double every few years, the silicon-based storage model is reaching structural limits. 

Biomemory is a global pioneer in the DNA data storage market. Biomemory develops IT-friendly DNA Data Storage and cybersecurity solutions engineered for data center environments.

Our interoperable, modular architecture combines biosecure DNA media, industrialized end-to-end write/store/read processes, and interoperable IT interface to create a new storage tier optimized for density, longevity and operational efficiency. 

Headquartered in Paris, with offices in Boston US, Biomemory aims to serve the fast-growing international cold storage market.

About the job

Mission
As a NGS Scientist, you will contribute to all aspects of post-writing steps until post-DNA reading sequencing. It includes DNA processing, Next-Generation Sequencing (NGS), sequencing data analysis, and pipeline development, while maintaining strong hands-on molecular biology expertise.
You will design, validate, and scale end-to-end sequencing workflows, from experimental design and wet-lab execution to robust, production-grade data analysis pipelines.
You will set scientific standards & drive technical decisions.

Main Responsibilities

NGS Strategy & End-to-End Workflow Ownership

  • Own the end-to-end NGS workflows, from biological question to actionable data.
  • Define sequencing strategies, by being a driving force in proposing and implementing new technologies in the field of DNA sequencing.
  • Design and optimize downstream data analysis to meet R&D team requirements.
  • Set acceptance criteria, controls, and quality thresholds for sequencing-based validation.

Sequencing Data Analysis & Pipeline Development

  • Design, develop, and maintain robust, scalable NGS data analysis pipelines.

  • Implement pipelines covering:

    • Base quality filtering
    • Alignment / assembly
    • Variant detection and error profiling
    • Coverage, bias, and contamination analysis
    • Custom metrics tailored to experimental needs
  • Ensure pipelines are reproducible, version-controlled & well-documented

  • Scientific Rigor, QC and standardization

    • Define and enforce scientific standards for sequencing data quality and interpretation.
    • Ensure traceability, auditability, and long-term reproducibility of sequencing data
  • Collaborate closely with software engineers to ensure pipeline robustness, performance, and maintainability.
Technical Mentorship

Act as a technical reference for NGS, sequencing analysis, and molecular biology.
Act as a right-hand person to the director of biotechnology, ensuring seamless collaboration
Mentor engineers and technicians on :
  • Experimental design
  • Sequencing interpretation
  • Data analysis best practices
Contribute to hiring, technical interviews, and skill assessment.
Drive technical roadmap discussions related to sequencing and data reading workflow.

Cross-functional & Strategic Contribution

Work closely with:
  • Molecular biology team
  • Automation and process engineering
  • Software and Hardware teams
Translate R&D needs into scalable, industrializable solutions.
Provide scientific input to strategic decisions, platform evolution, and technology choices.


About you

Profile

  • 10+ years of experience in NGS data analysis and pipeline development, in particular with the Oxford Nanopore Technology
  • Strong foundation in molecular biology.
  • Proven ability to operate at the interface of biology, data, and software engineering.
  • Comfortable owning complex systems end-to-end, from lab bench to production pipelines.

Education

PhD Bioinformatics, Computational Biology, Biotechnology, or related field.

Core Technical Expertise : NGS & Data Analysis (Expert Level)

Deep expertise in:

  • NGS technologies and sequencing error models
  • Pipeline architecture and best practices
  • Statistical analysis of sequencing data

Strong programming skills for pipeline development (e.g. Python, R, Bash; workflow managers appreciated).

  • Experience building custom analysis pipelines, not just using existing tools.
  • Strong understanding of data reproducibility, versioning, and traceability.
  • Molecular Biology (Strong Hands-on Background)

Extensive experience with:

  • PCR and amplification strategies
  • Library preparation workflows (in particular with Oxford Nanopore Technology)

Soft Skills

  • Strong scientific judgment and decision-making under uncertainty.
  • Structured, rigorous, and quality-oriented mindset.
  • Ability to communicate complex technical topics to diverse audiences.
  • Natural leadership
  • Proactive, autonomous, and solution-driven.
  • Being hand-on / operational

Nice-to-Have / Bonus

Experience with lab automation and high-throughput sequencing workflows.
Familiarity with data platforms, or regulated environments.
Prior exposure to industrial-scale sequencing or production pipelines.
Interest in synthetic biology, DNA-based technologies, or novel sequencing applications.
Managerial experience (people and/or projects)

Good to know 💡

The position is onsite, based at our office located at 5 Impasse Reille in Paris. The workspace combines modern classic offices with advanced laboratory rooms, designed to foster collaboration between computer scientists and biologists.

This setup supports our mission to tackle the challenges of DNA synthesis and writing, encouraging interdisciplinary teamwork and innovation.
The position is subject to French law on fixed-hour contracts ("forfait heures"), with a 39-hour working week, which offers flexibility and ensures clear expectations regarding time commitments.

Biomemory provides benefits beyond the French regulations, to support the well-being of its employees and enable them to best contribute to the success of the company. Upon successful first interview, we will be glad to share the details.

About the recruitment process

To respect everyone's time, we aim to keep the process efficient and reach a decision within a month. However, as we do not want to filter applications by diplomas or seniority, we have to check skills through tests and this requires a certain number of interviews.

The selection process consists of four steps, organized as follows:
  • Introductory interview with our Talent Acquisition Manager (45’)
  • Interview with your potential future manager
  • Case study interview with team members (90’)
  • “Culture fit” interview onsite (45’) 
Apply now!