Senior it cloud engineer Work, Jobs in Kennett, Sfk (with Salaries)

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Online technical interview - technical questions and a short presentation on a take-home bioinformatics challenge with members of the technical team.
Quick apply

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Senior Bioinformatician (Oncology)

Tagomics
Cambridge

Quick apply

Job details

Full-time

Benefits

Company pension
Private medical insurance
On-site parking

Qualifications

Cloud infrastructure
Doctoral degree
R
Data analysis skills
Git
AWS
Machine learning
Python

Full job description

What does it look like when epigenetics, fragmentomics, and machine learning converge on a single diagnostic platform, and what does it take to drive the analyses that make it work?

Tagomics is a Cambridge-based biotechnology company developing a next-generation multi-omic biomarker discovery platform to transform how disease and drug safety 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, this enables biological insight across applications including early cancer detection, drug safety and organ health monitoring.

With successful proof-of-concept programmes complete and new funding secured, we are now building towards our first commercial products. To achieve this, we are expanding our multidisciplinary team at Babraham Research Campus, one of Europe's leading life-science hubs.

Read our recent scientific paper here:
https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(25)00223-1

The Role
You will play a leading role in the analysis of genetic and epigenetic datasets generated using Tagomics’ proprietary multi-omics platform. The role will focus on applications leveraging cell-free DNA for disease detection in oncology. Working at the interface of research and product development, you will shape bioinformatics approaches across both exploratory R&D and the generation of robust, reusable analyses that underpin our products.

This is a role for someone who is ready to take on greater scientific and technical responsibility - someone who takes genuine ownership of complex multi-omic analyses, guides best practice across projects, and is motivated by work that has both scientific rigour and commercial impact. We are looking for someone who is motivated by interesting scientific questions, creative and tenacious in their pursuit of solutions, and a talent for communicating clearly to a broad audience.

What You'll Be Doing

Evaluating and introducing emerging bioinformatics methods where they add genuine value
Analysing sequencing and epigenetic datasets using Tagomics's established workflows, providing technical oversight to ensure consistency and quality across projects
Driving the interpretation of multi-omic data to inform biomarker discovery in cancer detection
Contributing to the development, optimisation, and review of computational pipelines, ensuring scalability and robustness as our R&D and product needs evolve
Working closely with laboratory scientists, bioinformaticians, and engineers to contribute to experimental design, analytical strategy, and project direction
Providing technical guidance to other bioinformaticians and supporting knowledge sharing across the team
Maintaining high standards of documentation and reproducibility across Tagomics's codebase

What We're Looking For

Essential:

PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline, with at least 3 years of experience in industry or academia
Experience in biomarker discovery for cancer detection, or experience in cancer research
Proven expertise in NGS data analysis including QC and interpretation.
Strong Python and/or R, with proven adherence to software development best practices and Git-based version control
Familiar with cloud-based infrastructure, preferably AWS, and scalable computational workflows such as Nextflow
Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders

Desirable:

Experience in epigenetics, or related areas, with evidence of contribution to research
Hands-on experience with epigenetic or multi-omic datasets and a track record of turning complex data into biological insights
Experience in an industry or commercial bioinformatics environment
Experience contributing to multidisciplinary teams including product, engineering, and commercial functions

Our Hiring Process

Online screening call - an online conversation about your experience, goals, and questions about the role
Online technical interview - technical questions and a short presentation on a take-home bioinformatics challenge with members of the technical team
Team interview - meet in person with leadership and your future colleagues

What We Offer

Competitive salary
Share option scheme
Matched pension contributions up to 8%
Private healthcare
Performance-related bonus scheme
Flexible hybrid working (minimum 2 days per week on-site)

We're based at Babraham Research Campus, one of Europe's leading life-science hubs, with modern accessible offices, on-site parking, a gym, restaurant, and countryside on the doorstep.

Joining at this stage means genuine scientific influence over analytical strategy, platform direction, and a company with something real to build.

We are not currently able to sponsor visas for this role. Applicants must have the right to work in the UK.

No agencies please. We will not be accepting speculative CVs for this opening.

Tagomics is committed to building a diverse and inclusive team.

Quick apply

Refine Your Search

senior it cloud engineer jobs in kennett, sfk

Senior Bioinformatician (Oncology)

Sr Staff AI Software Development Engineer

Senior Cloud Engineer

Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence

IT Infrastructure Solutions Architect

Senior AI Engineer (Full Stack)

Senior Delivery Manager

DevOps Automation Engineer- HP Wolf Security

Cloud Platform / Production Engineer

Senior Software Engineer, Data Platform

Software Development Manager , S3 Compute

Graduate / Placement Technical Support Engineer

Senior Software Architect

Principal Bioinformatics Engineer

Principal Bioinformatician

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