Bioinformatician

Bioinformatician

Permanent - Full time - Hybrid (Cambridge)

About Tagomics: Tagomics is a Cambridge-based biotechnology company developing a next-generation multi-omic biomarker discovery platform to transform how disease and organ health are understood, measured, and monitored. Originating from pioneering research by Dr Robert Neely and colleagues at the University of Birmingham, our proprietary technology integrates genetic, epigenetic, and fragmentomic features from circulating cell-free DNA. Combined with advanced bioinformatics and machine-learning approaches, this enables deep biological insight across applications ranging from early cancer detection to drug safety and organ health monitoring.

Learn more about our technology from our recent scientific paper - http://tinyurl.com/TagomicsPaper

As we move towards the launch of our first commercial products, Tagomics is entering an exciting phase of growth. We are expanding our multidisciplinary team and relocating to new laboratories and offices at Babraham Research Campus, one of Europe’s leading life-science hubs. Joining Tagomics means contributing to a scientifically rigorous, collaborative environment where your work will directly shape a unique technology that will transform our understanding of disease and diagnosis.

About the role: You will play a key role in analysing sequencing and epigenetic datasets that drive Tagomics’ biomarker discovery programmes. Working at the interface of research and product development, you will apply bioinformatics methods to both exploratory R&D questions and the generation of robust, reusable analyses that support our evolving product pipeline. Combining pipelines and cloud-based infrastructure, you will help turn complex multi-omic data into biological insights. This role is ideal for recent PhD graduates or early-career scientists seeking hands-on experience in applied bioinformatics within a fast-growing company. You will be supported through mentorship and training, while progressively taking greater ownership of analyses and contributing to projects with direct scientific and commercial impact.

Key Responsibilities • Analyse sequencing and epigenetic datasets using Tagomics’ established bioinformatics workflows, ensuring data are processed consistently to support reliable downstream discovery analyses • Support the development and optimisation of computational pipelines, ensuring scalability and usability as our R&D and product needs evolve • Carry out routine quality control checks on sequencing data, helping ensure analyses are based on consistent and reliable inputs • Contribute to the interpretation of multi-omic results, to inform biomarker discovery and their application to cancer detection and organ health monitoring • Work closely with laboratory scientists, bioinformaticians, and engineers to align analytical work with project goals and experimental design • Assess emerging bioinformatics methods and tools, applying and testing new promising techniques where they add value to ongoing analyses • Maintain documentation and contribute to Tagomics’ codebase via Git-based repositories, supporting reproducibility and effective collaboration across the team

Essential Requirements • PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline, or equivalent practical experience. • Practical experience analysing NGS data, gained in an academic or industry setting • Experience using Python and/or R for data analysis, with familiarity using Git for version control. • Interest in working with cloud-based infrastructure

Desirable Requirements • Experience in epigenetics, cancer genomics, or related areas, with evidence of contribution to research • Hands-on exposure to epigenetic or multi-omic datasets, with an interest in turning complex data into biological insights • Familiarity with workflow systems (e.g., Nextflow) and cloud environments (preferably, AWS), or motivation to develop skills in scalable, production-ready bioinformatics • Experience working in collaborative research settings, and interested in learning from and contributing to multidisciplinary teams

Skills and Competencies • Enthusiasm to learn and develop new computational skills • Good problem-solving and attention to detail • Ability to communicate results clearly to colleagues • Organised and able to manage workload effectively • Adhere to high coding standards, comprehensive documentation, testing, and reproducibility

Approach to work: what we value • Curiosity, motivation, and adaptability • Being collaborative and open to feedback • Being committed to continuous learning and professional growth • Demonstrates integrity and accountability

Hiring Process Our hiring process consists of 3 main stages: 1 - Screening Call – A conversation to discuss your relevant experience, career goals, and answer your questions about the role and company 2 – Technical Interview – A live online session assessing your technical abilities, including subject-matter questions and a short presentation on a take-home bioinformatics challenge. 3 - Team Interview – Meet with leadership and your future teammates to discuss collaboration, team dynamics, and how you'll contribute to our projects

Why join Tagomics? Tagomics is a small but rapidly growing company. Joining us at this stage offers the opportunity to gain broad exposure to multiple aspects of start-up life, contribute meaningfully to our technology, and help shape our culture as we grow. We believe in flexible working and in maintaining a sustainable work–life balance. This role is hybrid, with a minimum of two days per week in the office.

What we offer: • Competitive salary • Matched pension contributions up to 8% • Private healthcare • Performance-related bonus scheme

Our offices at Babraham Research Campus are modern, lift-accessible, and well connected, with on-site parking, bike facilities, and public transport links (Cambridge–Linton–Haverhill bus route). The campus also offers a gym, restaurant, and nearby countryside Pub.

Please note: we are not currently able to sponsor visas for this role. Applicants must have the right to work in the UK.

Location Cambridge (Hybrid) Department Computational Technology Employment Type Full-Time Minimum Experience Entry-level