Scientific ML Engineering Manager — Genomics Pipelines

Excelra Knowledge Solutions Pvt. Ltd.; Oost-Vlaanderen; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible hybrid working

Global genomics projects

Open culture and ambitious vision

Independence and flexibility

Job summary

Excelra Knowledge Solutions Pvt. Ltd. is seeking a Scientific Manager to own and professionalize ML engineering pipelines for genomic target prediction in a hybrid Europe setting.

You will transform ad hoc scripts into a reliable, version-controlled platform, collaborating with wet-lab and computational biology teams. You will build, automate, and harden pipelines, ensuring reproducibility, testing, and scalable workflows while interfacing with data infrastructure and cloud/HPC resources.

Qualifications

• PhD in bioscience engineering, bioinformatics, computer science or ML engineering, or MSc with 5+ years experience.
• Strong Python development practices and readable code for colleagues.
• Production experience: Git, packaging, containerization, CI/CD.
• Hands-on workflow orchestration: Nextflow, Snakemake or similar.
• Experience with cloud (AWS) and HPC (SLURM).
• Statistical modeling and ML in biology; experiment tracking.

Responsibilities

• Automate ML and experimental design pipelines for genomic target prediction.
• Migrate scripts/notebooks to a production-ready codebase.
• Reduce manual dataset prep and configuration steps.
• Integrate pipelines with AWS and HPC environments.
• Apply version control, testing, and reproducibility standards.

Skills

Python

Git

CI/CD

Readable code

English communication

Education

PhD in bioscience engineering

PhD in bioinformatics

PhD in computer science

MSc with 5+ years experience

Tools

Docker

Singularity/Apptainer

Nextflow

Snakemake

AWS

SLURM

MLflow/Weights & Biases

Job description

Excelra Knowledge Solutions Pvt. Ltd. is seeking a Scientific Manager to own and professionalize ML engineering pipelines for genomic target prediction in a hybrid Europe setting.

You will transform ad hoc scripts into a reliable, version-controlled platform, collaborating with wet-lab and computational biology teams. You will build, automate, and harden pipelines, ensuring reproducibility, testing, and scalable workflows while interfacing with data infrastructure and cloud/HPC resources.