Learning research engineer Work, Jobs in Pampisford, Cam (with Salaries)

Senior Bioinformatician (Oncology)
Tagomics —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Research
- University
Quick apply
Electronics Production Technician
Advanced Micro Peripherals —Ely
- Full-time
- Schematics
- Microsoft Office
- Quality control
- Free parking
Quick apply
6d
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
14d
Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
6d
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Machine learning
- In-person
- Life insurance
Quick apply
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Senior Systems Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Python
Graduate Silicon Engineer
Graphcore Early Careers —Cambridge
- Computer Science
- Engineering
- C++
Project Manager (AI models)
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Life insurance
Quick apply
14d
Physicist - Consultant
Awerian —Cambridge
- Full-time
- Project management
- Machine learning
- No degree
- Life insurance
Quick apply
Data Partnerships Project Manager
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Annual leave
- Life insurance
Quick apply
14d
Data Services Coordinator
GÉANT Recruitment —Cambridge
- Hybrid work
- Organisational skills
- Communication skills
Quick apply
5d
Research Software Engineer
Riverlane —Cambridge
- £60,000 - £75,000 a year
- Full-time
- Computer Science
- Master's degree
- C++
- Annual leave
- Life insurance
Quick apply
Graduate Silicon Engineer
Graphcore —Cambridge
- Computer Science
- Engineering
- C++
Senior/Staff Research Software Engineer
Riverlane —Cambridge
- £80,000 - £110,000 a year
- Full-time
- Computer Science
- Master's degree
- C++
- Annual leave
- Life insurance
Quick apply
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Business Development Consultant - HealthTech
TTP —Cambridge
- Full-time
- Business development
- Travel
- Life insurance
Quick apply
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree

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learning research engineer jobs near pampisford, cam

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
Git
Research
Bioinformatics
Analytics

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

learning research engineer jobs in pampisford, cam

Senior Bioinformatician (Oncology)

Electronics Production Technician

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Senior Machine Learning Engineer

AI/ML Research Consultant

Senior Machine Learning Scientist

Senior Systems Research Engineer - Research Engineering - MSR Cambridge

Staff Engineer (ML Engineer)

Principal Machine Learning Engineer

Graduate Silicon Engineer

Project Manager (AI models)

Physicist - Consultant

Data Partnerships Project Manager

Data Services Coordinator

Research Software Engineer

Graduate Silicon Engineer

Senior/Staff Research Software Engineer

Applied Scientist - LLM, Alexa

Business Development Consultant - HealthTech

Applied Scientist, Silicon and Systems Group Edge AI

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