About Ellele Health
Ellele Health is a medical research company reimagining diagnostics in women's health. Building on innovative IP and technology from our parent company, Origin Sciences, we are developing a novel, speculum-free vaginal sampling device that produces a richer biospecimen to power next-generation gynecological diagnostics and studies.
Ellele Health is a wholly owned subsidiary of Origin Sciences.
The role - Senior Bioinformatician for Ellele Health
You'll lead end-to-end analysis across methylation, mutation, and microbiome data to discover biomarkers and insights in human genomics, cancer, wellness, and disease. You'll design production-grade Nextflow pipelines, integrate lab/clinical metadata, and partner closely with wet-lab, clinical, and product teams to translate findings into validated, decision-ready outputs.
Key responsibilities
* Pipeline engineering (Nextflow): Design, build, and maintain robust, containerised pipelines for methylome, variant, and microbiome analyses; implement CI/CD, provenance, and reproducibility at scale (Docker/Singularity, Git, cloud/HPC)
* Methylation analytics: Process bisulfite/enzymatic sequencing; perform QC, normalization, batch correction, DMR calling, and pathway/region enrichment; evaluate clinical associations and predictive performance
* Variant analysis: Implement best-practice alignment and (somatic/germline) calling; filtering/annotation; mutational signatures; copy-number; build cohort-level models
* Microbiome & metagenomics: Run shotgun workflows for taxonomic/functional profiling; contamination control; host-microbe integration; link microbial features with host genetics and clinical phenotypes
* Multi-omics integration: Develop reproducible feature engineering and ML/biostatistics frameworks (cross-validation, calibration, confounding control) to derive clinically meaningful signatures
* Data management & governance: Define schemas and metadata standards; ensure traceability from instrument output to results; partner with Lab/Clinical Ops on LIMS/EDC integrations and data quality
* Collaboration & communication: Translate complex analyses into clear narratives, dashboards, and reports for scientists, clinicians, and leadership; contribute to study design and sample size/power discussions
* Quality & documentation: Establish testing, monitoring, and QC gates; write methods/SOPs; support publications and regulatory-grade documentation where needed
* Mentorship: Provide technical guidance and code review; help shape best practices across the informatics stack
Requirements
PhD (or equivalent experience) in a computational field (Bioinformatics, Computational Biology, Computer Science, Statistics, Engineering, or related).
* 3+ years working with NGS data, including at least two of: methylation, variant, microbiome; experience combining them is a plus
* Advanced proficiency in Python and/or R, linux, Git, Nextflow, and containerisation (Docker/Singularity); strong data-modelling skills
* Solid grounding in statistics/ML (regression, regularisation, cross-validation, survival/time-to-event, feature selection)
* Experience operating pipelines on cloud or HPC (job schedulers, object storage, workflow orchestration, observability)
* Track record of collaborative work with laboratory/clinical teams and of delivering clear, reproducible analyses
* Must be able to work onsite in Cambridge, UK 3 days per week
Nice to have
* Experience in women's health, gynaecological cancers, or biomarker work; familiarity with clinical study data flows (LIMS/EDC)
* Knowledge of data privacy/ethics for human genomics and clinical data (e.g., UK GDPR), and writing methods/SOPs for regulated contexts
* Visualisation and dashboarding (e.g., Plotly, R Shiny, Looker/Power BI/Tableau)