Scientific data engineer Work, Jobs in Cambridge, Eng (with Salaries)

Senior Bioinformatician (Oncology)
Tagomics —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- AWS
Quick apply
11d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
13d
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
11d
Senior Compiler Engineer - Systems Team
Riverlane —Cambridge
- £68,000 - £100,000 a year
- Part-time
- Doctoral degree
- Computer Science
- C++
- Annual leave
- Life insurance
Quick apply
Principal Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Annual leave
Automation Leader
PerkinElmer —Stevenage
- Doctoral degree
- Laboratory experience
- Microsoft Office
- Annual leave
- Referral programme
Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI
AstraZeneca —Cambridge
- Hybrid work
- Microsoft Outlook
- Doctoral degree
- Master's degree
Product Director, Molecule Design Products
GlaxoSmithKline —Stevenage
- Full-time
- Azure
- Doctoral degree
- DevOps
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
Modelling and Simulation Engineer
UK Research and Innovation (UKRI) —Cambridge
- £46,444 - £51,088 a year
- Full-time
- Engineering
- System design
- English
14d
Modelling and Simulation Engineer
British Antarctic Survey —Cambridge
- £46,444 - £51,088 a year
- Full-time
- Engineering
- System design
- English
- Employee discount
13d
Software Engineer - Materials Management
BIOVIA —Cambridge
- Hybrid work
- Computer Science
- English
- Java
- Flexible schedule
11d
Full Stack Engineer
Cambridge Applied Research —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
6d
Postdoctoral Scientist | Neurobiology | Dr Sven Truckenbrodt | LMB 2526
UK Research and Innovation (UKRI) —Cambridge
- Full-time
- Doctoral degree
- Python
14d
Senior MLOps Engineer
Abcam —Cambridge
- Full-time
- In-person
- Annual leave
11d
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
23h
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Go-To-Market (GTM) Engineer / Revenue Operations
Abselion —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Microsoft Outlook
- Sales
- SQL
Senior Backend Engineer
IntelliSense.io —Cambridge
- Computer Science
- Java
- SQL
Quick apply
4d

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Senior Bioinformatician (Oncology)

Tagomics
Cambridge

Quick apply

Job details

Full-time
11 days ago

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

scientific data engineer jobs in cambridge, eng

Senior Bioinformatician (Oncology)

Senior Machine Learning Scientist

Senior AI Engineer (Full Stack)

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Principal Software Engineer

Automation Leader

Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI

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Modelling and Simulation Engineer

Modelling and Simulation Engineer

Software Engineer - Materials Management

Full Stack Engineer

Postdoctoral Scientist | Neurobiology | Dr Sven Truckenbrodt | LMB 2526

Senior MLOps Engineer

AI Research Engineer

Applied Scientist - LLM, Alexa

Go-To-Market (GTM) Engineer / Revenue Operations

Senior Backend Engineer

I want to receive the latest job alerts for scientific data engineer in cambridge, eng

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