395 Senior Bioinformatician jobs in the United Kingdom

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).

Job Description About the Role

Transforming Cancer Care with AI

About the Project
We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here

This is a unique opportunity to help build a first-of-its-kind cancer AI development ecosystem, democratising access to data, technologies, and AI expertise, while directly contributing to patient care and innovation.

PharosAI offers more than a job—it offers a mission. You'll be part of a forward thinking, interdisciplinary team building a federated, secure AI platform designed to support NHS delivery, AI-driven drug discovery, and real-world clinical application. You'll also help lead the way in fair, transparent data sharing, patient involvement, and education in AI for healthcare professionals.

This is your chance to contribute to one of the most visionary cancer innovation projects in the UK—and make a real difference. This role is part of multiple exciting roles that we are recruiting into across a variety of disciplines for this project.

About you
For this role you will have a PHD in a relevant discipline (e.g. Computer / Data Science). With an enviable track record of relational database design and implementation (you will be responsible for building a health informatics/bioinformatics platform) alongside proficiency in machine learning and AI, your experiences will stand you out from your peers.

For all our roles we are searching for those who will be passionate about contributing to cutting-edge cancer research and AI-driven innovation, with either or both capable technical backgrounds and collaborative mindsets, and a commitment to delivering or supporting excellence in research and the impact this can have on our society.

The project will be based at the Barts Cancer Institute, part of the Faculty of Medicine and Dentistry.

About the Institute
The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research, and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training

About Queen Mary
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

We offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities in addition to comprehensive staff benefits, found here

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

*As part of the application process, you will be required to answer specific questions. Depending on the number of applications received, we may do an initial shortlisting process based on this criterion only.

Closing Date

10/09/2025, 23:55

The Ellison Institute of Technology (EIT) tackles humanity’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas led by a faculty of world experts, EIT seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: Health, Medical Science and Generative Biology; Food security and Sustainable agriculture; Clean Energy Generation and Storage; and Artificial Intelligence and Robotics

A cornerstone of EIT mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit.

The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering.

EIT fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges.

Job Summary:

We are seeking a Bioinformatician  to join the GBI team in a client-facing role, supporting researchers through interactive data analysis, workflow development, and strategic engagement. This position plays a key role in refining and running bioinformatics pipelines, promoting reproducible research, and enabling staff to access and benefit from the expertise of the world class Bioinformatics group.

Key Responsibilities:

• To provide data analysis and interpretation for GBI researchers , assisting, where required, in manuscript preparation and submission.
• To participate in developing and implementing bioinformatics strategies, programs, and workflows  that support the experimental programmes of GBI, including synthetic biology, genome design, and molecular evolution.
• To ensure reproducibility, version control, and documentation  for all analyses and pipelines, contributing to open science and collaborative research.
• To organise and prioritise work , operating at the highest standard to defined deadlines.
• To ensure compliance with best practices in biological data handling , ensuring effective integration of biological data with laboratory and experimental metadata.
• To assist in the design and delivery of high-quality training to GBI staff and researchers .
• To support strategies for effective and timely user engagement , including user-group meetings, seminars, and chat systems.
• To use strategic learning opportunities to develop and broaden experitise ; personally, and as part of efforts to ensure resilience within the group.
• To promote and champion EIT and the work of the GBI , representing the institute at functions and public events.

Requirements

Essential Knowledge, Skills, and Experience:

• An advanced degree in a data-oriented subject (e.g. Bioinformatics, Medical Informatics, Molecular Biology, Biochemistry).
• Experience delivering bioinformatics analyses in a client-facing capacity , with strong knowledge of common analyses in genomics (e.g. bulk and single-cell RNAseq, WGS/WES, CUT-and-TAG).
• An appreciation, or experience, of working within a laboratory or scientific research setting ; an understanding of the data types, limitations, and challenges across experimental workflows, and of relevant technicques in molecular biology upstream of data generation.
• Demonstrable programming skills (R and/or Python).
• Familiarity operating UNIX systems , including operating in HPC and/or Cloud environments (e.g. SLURM, OCI).
• Experience running and fault-finding analysis pipelines (e.g. Nextflow, Snakemake), especially utilising software containers (e.g. Docker, Singularity/Apptainer).
• Experience using and developing version-controlled codebases , familiarity with common tools (git) and development practises.
• Strong verbal and written communication and stakeholder engagement skills , with the ability to translate technical solutions into strategic value for the organisation.

Benefits

We offer the following benefits:

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electrical Car Scheme

Why work for EIT:

At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

Terms of Appointment:

• You must have the right to work permanently in the UK with a willingness to travel as necessary.
• You will live in, or within easy commuting distance of, Oxford.
• During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

This is a fantastic opportunity to work as a contract Bioinformatician, for a major pharmaceutical company, on a remote basis, outside IR35.

The key skills required for this Bioinformatician role are:

• Benchmarking somatic variant/CNV calling
• Genomic data analysis
• DNA-seq data 
• Python development
• NGS pipeline development
• Illumina Dragen 
• AWS

If you do have the relevant skills for this long term Bioinformatician contract role, please do apply.

This is a fantastic opportunity to work as a contract Bioinformatician, for a major pharmaceutical company, on a remote basis, outside IR35.

The key skills required for this Bioinformatician role are:

• Benchmarking somatic variant/CNV calling
• Genomic data analysis
• DNA-seq data 
• Python development
• NGS pipeline development
• Illumina Dragen 
• AWS

If you do have the relevant skills for this long term Bioinformatician contract role, please do apply.

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

The Ellison Institute of Technology (EIT) tackles humanity’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas led by a faculty of world experts, EIT seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: Health, Medical Science and Generative Biology; Food security and Sustainable agriculture; Clean Energy Generation and Storage; and Artificial Intelligence and Robotics

A cornerstone of EIT mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit.

The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering.

EIT fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges.

Job Summary:

We are seeking a Senior Bioinformatician  to lead and deliver expert bioinformatics support to researchers across GBI. This client-facing role involves designing and implementing advanced workflows, driving collaborative analysis projects, and enabling scientific teams to access and benefit from the Bioinformatics group’s expertise.

You will work closely with experimental platforms and research teams to ensure robust, reproducible, and well-documented data analysis pipelines. The role combines technical leadership with scientific insight, contributing directly to the success of GBI’s research programmes in synthetic biology, genome design, and molecular evolution.

Key Responsibilities:

• To provide expert-level data analysis and interpretation for GBI researchers , assisting from conceptualisation through to manuscript preparation and submission.
• To lead and contribute to collaborative analysis projects involving GBI researchers and staff, and external collaborators.
• To develop and implement bioinformatics strategies, programs, and workflows  that support the experimental programmes of GBI, including synthetic biology, genome design, and molecular evolution.
• To work closely with researchers and platform staff  (e.g. sequencing, mass spectrometry, flow cytometry) to develop and refine computational pipelines for analysing biological data.
• To ensure reproducibility, version control, and documentation  for all analyses and pipelines, contributing to open science and collaborative research.
• To organise and prioritise work , operating at the highest standard to defined deadlines.
• To ensure compliance with best practices in biological data handling , ensuring effective integration of biological data with laboratory and experimental metadata.
• To design and deliver high-quality training to GBI staff and researchers and to assist and mentor those working independently.
• To support strategies for effective and timely user engagement , including user-group meetings, seminars, and chat systems.
• To use strategic learning opportunities to maintain and further develop experitise ; personally, and as part of efforts to ensure resilience within the group.
• To promote and champion EIT and the work of the GBI , representing the institute at functions and public events.

Requirements

Essential Knowledge, Skills, and Experience:

• An advanced degree in a data-oriented subject (e.g. Bioinformatics, Medical Informatics, Molecular Biology, Biochemistry).
• Extensive experience delivering bioinformatics analyses in a client-facing capacity , with a proven record evidenced by publications or similar across a range of areas (e.g. RNA- and DNA-based bulk / single cell / spatial, long-read sequencing, DNA conformation and accessibility, image analysis, proteomics, metabolomics, protein structure, high-dimension cytometry).
• Practical experience, or a thorough understanding, of working within a laboratory or scientific research setting ; a strong knowledge of the data types, limitations, and challenges across experimental workflows, and of relevant technicques in molecular biology upstream of data generation.
• Expert-level programming skills (R and Python).
• Extensive experience operating in HPC and/or Cloud environments (e.g. SLURM, OCI), strong familiarity with UNIX.
• Experience designing and implementing analysis pipelines (e.g. Nextflow, Snakemake), especially utilising software containers (e.g. Docker, Singularity/Apptainer).
• Demonstrable experience developing version-controlled code , familiarity with common tools (git) and of multi-user development practises.
• Strong verbal and written communication and stakeholder engagement skills , with the ability to translate technical solutions into strategic value for the organisation

Benefits

We offer the following benefits:

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electrical Car Scheme

Why work for EIT:

At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

Terms of Appointment:

• You must have the right to work permanently in the UK with a willingness to travel as necessary.
• You will live in, or within easy commuting distance of, Oxford.
• During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.