Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Senior Principle Data Engineer - Genetics
You will advance our human quantitative genetics strategy by providing the data engineering fundamentals that enable downstream analysis. You will collaborate with quantitative geneticists, data scientists, data engineers, platform experts, IT, and others to ensure that data availability and quality are never the bottlenecks for our analyses. In that collaboration, you will provide the vision and implementation for how our FAIR data environment works across internal and external platforms such as biobank trusted research environments (TREs).
You will work with other scientists to:
Bring tools, containers, and reference data into TREs (e.g., UK Biobank Research Analysis Platform, All of Us Researcher Workbench) and manage their deployment and versioning.
Ingest and maintain connections to genetic reference databases (OpenTargets, GWAS Catalog, ClinVar, dbSNP, OMIM, HGMD, ChEMBL, DrugBank) and integrate them with the internal knowledge graph (Synaptix) and analytics platforms.
Perform and automate data QC for diverse genomic data types including SNP arrays, whole-exome sequencing (WEX), whole-genome sequencing (WGS), and GWAS summary statistics.
Develop, test, and execute reproducible analysis pipelines using workflow managers (e.g., Nextflow, WDL, Snakemake) and containerized environments (Docker, Singularity) for deployment within TREs.
You have substantial expertise in data engineering for scientific and genomic data and are comfortable working both on strategic questions as well as hands-on implementation. You have
Bachelor's or Master's degree in computer science, data engineering, bioinformatics, or a related field.
Strong experience building production-grade data pipelines for genetic and genomic datasets, including familiarity with common formats (VCF, PLINK/BED/BIM/FAM, BGEN, GWAS summary statistics).
Strong expertise in Python and R for data ingestion, processing, cleaning, and pipeline orchestration.
Experience with genomics-specific tools and frameworks (e.g., Hail, PLINK, bcftools, samtools, liftOver) and workflow managers (Nextflow, WDL, Snakemake).
Expertise in working with large, complex datasets in cloud or HPC environments, including tools such as Spark, S3, and cloud-native compute platforms (AWS, GCP, Azure).
Experience with additional biobank platforms or multi-ethnic datasets (e.g., Biobank Japan, Galatea, FinnGen).
Experience building dashboards or visualization tools (e.g., Shiny, Streamlit, Plotly Dash) for scientific audiences.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
