SeqOne
SeqOne
SeqOne develops AI-powered bioinformatics software for molecular laboratories working with next-generation sequencing data. Its all-in-one platform supports germline and somatic analysis across panels, exomes, and short- or long-read genomes, with automated workflows through SeqOne Flow and clinically validated interpretation through DiagAI. The company’s technology is used in oncology, inherited disease, and infectious disease testing, combining variant prioritization, phenotype matching, pathogenicity prediction, and expert-defined rules. SeqOne also provides LIMS and IT integrations, professional and clinical interpretation services, premium annotation sources, and multilingual support for laboratory deployments. Its work sits at the intersection of healthcare, biotechnology, and artificial intelligence, with a focus on security, compliance, and clinical adoption.

Bioinformatics Engineer, Oncology and Hematology — SeqOne (Hybrid, France)

Build reproducible bioinformatics pipelines and software for SeqOne’s clinical genomics platform. Support oncology and hematology research with reliable, scalable solutions.

Description

  • Develop tools and pipelines for complex biological datasets
  • Maintain and enhance existing applications
  • Investigate and resolve user-reported issues
  • Improve application performance and reliability
  • Deliver robust, reproducible analytical results
  • Work closely with scientific teams
  • Support scientific publications and presentations
  • Facilitate code reviews
  • Apply coding standards and secure development practices
  • Evaluate emerging methods and technologies for relevant adoption
  • Write and maintain technical documentation
  • Train and support users and colleagues
  • Work with research and product teams to turn scientific needs into dependable software
  • Drive code quality through reviews, testing, and CI/CD practices
  • Help establish team practices that make complex analyses routine, reproducible, and scalable

Requirements

  • Professional experience in oncohematology is required
  • Master’s degree (Bac+5) in bioinformatics, computer science, or a related discipline
  • At least two years of experience developing bioinformatics software
  • Advanced skills in Python, UNIX/Linux, and Bash
  • Hands-on experience with workflow tools such as Snakemake and Nextflow
  • Working knowledge of Git, including branching, pull requests, and code reviews
  • Experience using Docker to build reproducible environments
  • Strong written and verbal communication skills
  • Collaborative approach to teamwork
  • Ability to manage responsibilities independently
  • Strong analytical and problem-solving skills
  • PhD or equivalent research experience is advantageous
  • Experience with CI/CD systems such as GitLab CI or GitHub Actions is beneficial
  • Knowledge of environment management tools such as pyenv, Poetry, or virtual environments
  • Experience with HPC or cloud environments, including SLURM, AWS, GCP, or Azure, is a strong advantage
  • Additional programming experience in R, Perl, Groovy, Nim, or Rust is welcome

Benefits

  • Remote work opportunities
  • Flexible working hours
  • Competitive benefits package
  • Internal career development opportunities
  • Ongoing professional training
  • Support for attending scientific conferences
  • Fixed salary
  • Bonus compensation
  • Health insurance provided at no cost
  • Flexible hybrid, on-site, or fully remote working arrangements

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