Senior Bioinformatician – Genomic Data Analysis

Adlin-Science recrute !

Descriptif du poste

Location: Paris

Contract type: Full‑time, permanent (CDI)

Start date: As soon as possible

Compensation: Based on experience and profile


ADLIN is an innovative company dedicated to unlocking the value of multi‑modal data, with deep expertise in multi‑omics, to accelerate scientific and medical research. We provide secure, collaborative, and compliant digital solutions to structure, explore, and analyze biological data. Our no‑code tools and analytical applications strengthen interoperability, traceability, and data sovereignty for researchers and industry partners.

Joining ADLIN means contributing to an ambitious scientific and technological project, driven by rigor, innovation, and societal impact.


🎯 Context & Objectives

  • As part of the expansion of our bioinformatics division, we are recruiting a senior bioinformatician with strong expertise in genomic data processing, ideally with experience in clinical environments and associated methodologies.

  • You will join our scientific team to support the development of our multi‑omics analysis platform.

  • Your mission will be to ensure a seamless transition between genomic data production and their exploitation in translational research and clinical study contexts, supporting discovery efforts and therapeutic development.


🧠 Main Responsibilities

1. Genomics & Pipelines (50%)

  • Implement and optimize end‑to‑end WGS pipelines (FASTQ → VCF), following GATK Best Practices using nf‑core/sarek and Nextflow.

  • Integrate and maintain reference databases (gnomAD, ClinVar, Ensembl, dbSNP…) with proper versioning.

  • Produce automated analytical reports.

  • Optimize workflows for CPU/RAM/I/O efficiency.

2. Clinical‑grade Analysis Methods (35%)

  • Contribute to the design and implementation of analysis pipelines tailored to clinical study requirements and therapeutic development needs.

  • Integrate methodological constraints specific to clinical trials (endpoints, study design, analysis plans, stratification strategies).

  • Support the implementation of quality, traceability, and governance standards required in clinical environments.

3. Platform Integration (15%)

  • Participate in designing the genomic analysis components of the ADLIN platform in collaboration with Product teams.

  • Document, standardize, and validate pipelines for production‑grade deployment.

  • Contribute to architectural decisions.


Additional Responsibilities

Genomic Pipeline Development & Optimization

  • Build, optimize, and maintain WGS pipelines from FASTQ to annotated VCF (GATK, nf‑core/sarek, Nextflow).

  • Integrate reference datasets (gnomAD, ClinVar, Ensembl, dbSNP…).

  • Develop prioritization workflows (functional impact, quality filters, frequency/impact‑based scoring).

  • Produce and validate automated interpretation reports.

  • Optimize workflows across compute/storage constraints.

Public Data & Harmonization

  • Integrate external datasets (gnomAD, TCGA…).

  • Support metadata standardization with the Data team.

  • Structure file systems (VCF, BAM/BAI, indices, reference genomes).

Platform Integration

  • Contribute to platform design with Product.

  • Standardize and validate pipelines for industrial deployment.

Multimodal Integration

  • Develop multi‑omics modules combining variants, gene expression, and proteomic data.

  • Support integration into the multi‑omics analysis platform.

Your Role Within the Team

You will join a team of 4 bioinformaticians with complementary expertise, actively contributing to the development of ADLIN’s multi‑omics analysis platform and high‑impact research projects.

Profil recherché

🧰 Required / Preferred Qualifications

Required Profile

  • 5+ years of experience in genomic bioinformatics.

  • Strong expertise implementing WES/WGS workflows.

  • Mastery of Nextflow and nf‑core standards for reproducible pipeline development.

  • Excellent command of Linux, Bash, Python and/or R.

  • Experience working in clinical or therapeutic development contexts.

  • Understanding of regulatory and methodological constraints.

Preferred Experience

  • Experience in pharmaceutical or biotechnology settings.

  • Experience with HPC and/or cloud computing environments.

Personal Qualities

  • Strong product & platform mindset: ability to understand user needs at scientific and clinical levels.

  • Clinical & pharma orientation: ability to integrate regulatory and methodological requirements.

  • Excellent communication skills, including clear scientific and technical documentation.

  • Adaptability: comfortable in a fast‑evolving and partially structured environment.

  • Scientific commitment: motivated to contribute to high‑impact translational research and therapeutic development projects.

Informations complémentaires

  • Type de contrat : CDI
  • Lieu : Paris
  • Télétravail partiel possible