Scientific data engineer Work, Jobs in Whittlesford, Cam (with Salaries)

Software Validation Engineer (QA)
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- AWS
- Machine learning
- JavaScript
- Annual leave
- Life insurance
Quick apply
9d
R&D Scientist, Quantum Algorithms - 905
Quantinuum —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- IT
- Annual leave
Modelling and Simulation Engineer
UK Research and Innovation (UKRI) —Cambridge
- £46,444 - £51,088 a year
- Engineering
- System design
- English
1d
Computational Physics & Signal Processing Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
12d
Senior Bioinformatician (Oncology)
Tagomics —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- AWS
Quick apply
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
Senior Software Engineer - FTC
Public Library of Science —Cambridge
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
Machine Learning Engineer - AI Enablement
Roche —Welwyn
- Doctoral degree
- Computer Science
- Master's degree
10d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Principal Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Annual leave
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —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 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
Head of Programme Management
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Life insurance
Quick apply
Maintenance Engineer (Electrical Bias)
The Babraham Research Campus —Babraham
- £38,000 - £43,000 a year
- Overtime
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Free parking
Quick apply
Senior Electrical Engineer
Aixtron SE —Swavesey
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Annual leave
- Flexible schedule
10d
Principal Bioinformatician
Tagomics —Cambridge
- Full-time
- Hybrid work
- Management
- Doctoral degree
- Data analysis skills
Quick apply
Data Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- AWS
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
3d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply

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scientific data engineer jobs near whittlesford, cam

Software Validation Engineer (QA)

Qureight Ltd
Cambridge

Quick apply

Job details

Full-time
9 days ago

Benefits

Annual leave
Company pension
Private medical insurance
Enhanced maternity leave
Life insurance

Qualifications

GAMP
PyTorch
Test automation
Selenium
AWS
Machine learning
JavaScript
Terraform
Software testing
GitLab
Communication skills
Python

Full job description

About us

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.

We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.

About the role

We are seeking an early-career or graduate software validation engineer to join our team at Qureight. In this role, you will help us deliver the highest quality products to our clinical trial customers and meet our regulatory requirements. To succeed, you must have experience working with automated testing frameworks, an eye for identifying critical product issues, and an attention to detail.

At Qureight, we have developed a cloud-based platform that is used by our pharmaceutical and biotech clients to curate and analyse data from clinical drug trials using advanced machine learning techniques.

In this role, you will help deliver our testing and validation strategy, working across a Python backend, Next.js front end, deep-learning vision models (pytorch) and Terraform’ed EKS environment on AWS.

Key responsibilities

Product Development

Help implement testing strategies across Qureight’s integrated software stack, including automated unit, integration, regression and E2E tests.
Ensure that all functional, performance, regulatory, privacy and security requirements are tested to an acceptable level prior to product release.
Manage test runs; identifying, reporting and tracking any software defects that arise.
Participate in software design reviews, helping to ensure that all software requirements are clear, concise and testable.
Contribute to the ongoing improvement of automated processes that produce traceable artefacts.
Attend sprint planning and stand-up meetings to stay apprised of new feature development work

Business Systems Validation

Contribute to risk-based computer systems validation (CSV) across a range of commercial and in-house software platforms to ensure compliance with clinical trial, quality and regulatory standards, particularly Good Clinical Practice and GAMP 5. (You don’t need to be an expert in this; we’ll provided training and guidance)

Quality Assurance

Be proactive in suggesting improvements that improve product quality and our way of working.
Remain up to date with the latest best practices and testing methodologies and frameworks.

Requirements

Industry experience in software testing (preferably for a cloud-hosted product suite), through previous roles, internships or projects.
You have experience validating python-based software stacks; familiarity with systems that include machine learning components is advantageous.
You are skilled in the use of common test frameworks and tools such as pytest, Playwright, Selenium, etc and experienced in the use of CI/CD tools (we use Gitlab).
You have excellent problem-solving skills, an analytical mindset and strong communication skills.

It’s a bonus if you have (but not essential):

You have experience or knowledge (through training or education) of software validation in a regulated industry. (Our software platform is developed under a ISO 13485 certified quality management system, and GxP-validated following GAMP 5 methodology).
Knowledge formal Computer Systems Validation/Assurance methodologies, e.g, GAMP 5.
A degree or degree-equivalent in a relevant scientific or technical area, e.g. computer science or engineering, is beneficial, but not essential.

Benefits

What can you expect from us

A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
25 days annual leave, plus bank holidays and enhanced maternity leave
A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.

How to apply

Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within 14 days).

If you have any queries, please contact [email protected]. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.

Quick apply

Refine Your Search

scientific data engineer jobs in whittlesford, cam

Software Validation Engineer (QA)

R&D Scientist, Quantum Algorithms - 905

Modelling and Simulation Engineer

Computational Physics & Signal Processing Consultant

Senior Bioinformatician (Oncology)

Senior AI Engineer (Full Stack)

Senior Software Engineer - FTC

Machine Learning Engineer - AI Enablement

Senior Machine Learning Scientist

Applied Scientist - LLM, Alexa

Principal Software Engineer

Sr. Applied Scientist, Alexa International

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

Senior Compiler Engineer - Systems Team

Head of Programme Management

Maintenance Engineer (Electrical Bias)

Senior Electrical Engineer

Principal Bioinformatician

Data Scientist

Agentic AI Engineer (life sciences)

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