Senior Genomics Data Engineer – AI-Powered Pipelines

Biopharma Careers; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Novo Nordisk in London is seeking a Sr Data Engineering Professional to develop data pipelines and data products for early research. You will bridge engineering excellence and scientific understanding, enabling data scientists and researchers to use complex datasets more effectively.

You will join Bio Data & AI Engineering within Data Foundations & Engineering as part of the larger AI & Digital Innovation organisation in R&D, collaborating with colleagues across the UK, Denmark and US.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, Statistical Genetics, Data Science, Software Engineering, or a related field.
• Significant hands-on experience in data engineering, bioinformatics engineering, statistical genetics engineering, or related fields.
• Demonstrated hands-on experience building and operating production data pipelines for Omics and/or Genetics datasets.
• Proficiency in cloud computing, data/scripting languages and workflow orchestration technologies (e.g. Python, R, Bash, SQL, Nextflow, Airflow, Databricks).
• Demonstrated expertise in ETL processes, data pipelines, metadata harmonisation, data lifecycle management, data product release processes and operational support.
• Experience operationalising analytical workflows such as differential expression, gene set/pathway enrichment, single-cell analysis, GWAS harmonisation, fine‑mapping, colocalisation, etc.
• Demonstrated hands-on expertise in data modelling, scientific metadata design, lineage, quality controls and efficient fit-for-purpose biological database designs.
• Excellent stakeholder management and communication skills, with the ability to explain complex technical topics to both technical and scientific audiences.
• Moreover, you thrive in environments with evolving processes and distributed ownership structures, demonstrating pragmatism, collaboration, and strong problem‑solving capabilities.

Responsibilities

• Engineer trusted, analysis-ready biological data solutions for computational biologists, statistical geneticists, data scientists, AI/ML engineers in target & biomarker discovery.
• Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional genomics, proteomics and multi-omics datasets.
• Build and maintain Statistical Genetics pipelines, including GWAS ingestion/harmonisation, variant annotation, fine-mapping, colocations, Mendelian randomisation, gene burden testing and genetics-driven target prioritisation workflows.
• Assure data quality, reproducibility, traceability and compliance through automated validation, monitoring, lineage, testing, release management and data governance practices.
• Contributing to the development of future-state data platform architecture and engineering best practices within the team.

Education

Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, Statistical Genetics, Data Science, Software Engineering, or a related field

Tools

Python

R

Bash

SQL

Nextflow

Airflow

Databricks

Job description

Novo Nordisk in London is seeking a Sr Data Engineering Professional to develop data pipelines and data products for early research. You will bridge engineering excellence and scientific understanding, enabling data scientists and researchers to use complex datasets more effectively.

You will join Bio Data & AI Engineering within Data Foundations & Engineering as part of the larger AI & Digital Innovation organisation in R&D, collaborating with colleagues across the UK, Denmark and US.