Algorithm engineer Work, Jobs in Cambridge (with Salaries)

Senior Specialist, Data Science
AstraZeneca —Cambridge
- Computer Science
- English
- Master's degree
1d
Senior Software Development Engineer
Advanced Micro Devices, Inc —Cambridge
- Computer Science
- Engineering
- Master's degree
Senior Software Engineer - Robot Software
CMR Surgical —Cambridge
- IT
- Linux
- Leadership
4d
Staff / Principal Software Engineer (Hardware Tools Automation/SRE)
Imagination Technologies —Cambridge
- Python
Senior DSP Systems Engineer
Palma Ceia SemiDesign —Cambridge
- Engineering
- Master's degree
- Bachelor's degree
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
5d
Senior Drone Software Dev Engineer, Ring Robotics Platform Engineering
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- System design
- Java
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
Senior Analogue and RF Laboratory Characterisation Engineer
Palma Ceia SemiDesign —Cambridge
- Engineering
- Master's degree
- Bachelor's degree
Chief Architect for Developer Tools - 802
Quantinuum —Cambridge
- Full-time
- Computer Science
- Master's degree
- C++
- Annual leave
(UK)Senior Engineer - AI Core services
Codvo.ai —Cambridge
- Azure
- Product management
- APIs
FPGA Engineer - Consultant
Awerian —Cambridge
- Full-time
- C++
- Linux
- Relocation assistance
- Life insurance
Quick apply
Electronics Engineer - Consultant
Awerian —Cambridge
- Full-time
- C++
- Computer networking
- Software development
- Relocation assistance
- Life insurance
Quick apply
Senior Design Verification Engineer
lowRISC CIC —Cambridge
- Full-time
- Bachelor's degree
- No degree
- Leadership
- Annual leave
- Life insurance
Quick apply
Senior Software Development Engineer C++
Pico Technology —St. Neots
- Up to £75,000 a year
- Full-time
- Hybrid work
- C++
- Agile
- Linux
Quick apply
Senior Project Engineer
LOGIC CORE LTD —Mildenhall
- £70,000 - £80,000 a year
- Full-time
- AutoCAD
- Schematics
- Engineering
- Free parking
- Life insurance
Quick apply
11d
C++ Senior Software Development EngineeC
Pico Technology —St. Neots
- £70,000 - £75,000 a year
- Full-time
- Hybrid work
- C++
- Agile
- Linux
- Flexitime
- Referral programme
Quick apply

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Senior Specialist, Data Science

AstraZeneca -
Cambridge

Apply Now

Job details

1 day ago

Qualifications

Power BI
Computer Science
NoSQL
English
Master's degree
SQL
Bachelor's degree
Machine learning
APIs
Agile
Predictive analytics
Data science
Communication skills
Python

Full job description

Location Cambridge, England, United Kingdom Job ID R-254530 Date posted 14/06/2026

Job Title: Senior Specialist, Data Science — Operational Data Strategy (ODS), BioPharma R&D

Location: United Kingdom

Competitive Salary & Excellent Company Benefits!

Introduction to the Role:

The Operational Data Strategy (ODS) function provides strategic oversight for how clinical operations data is collected, organized, validated, and analyzed across R&D. ODS combines advanced database and system capabilities with innovative data science methodologies to enable visual, data-driven decision making in clinical operations. ODS is a key division within R&D at AstraZeneca that partners across BioPharma to elevate evidence generation and operational excellence.

About the Role:

We are seeking a Senior Specialist, Data Science to be a key asset within ODS, reporting to the Strategic Analytics and Enablement Lead. You will drive complex analytics programs, design and implement predictive models, and translate business needs into rigorous data science solutions that create tangible impact in clinical operations. Core deliverables emphasize advanced analytics outputs and AI/ML applications; dashboards in Power BI are supportive rather than central. You will embody our core traits—critical thinking, growth mindset, grit, and resilience—while coaching specialists and raising the quality bar across ODS.

Typical Accountabilities:

Coordinate the implementation of analytical and data visualization solutions across clinical operations, ensuring scalability, reproducibility, and clear governance.

Develop solutions to business and analytics challenges using established frameworks and tools, translating complex operational needs into robust data science deliverables.

Lead advanced analytics and visualization approaches that enable data-driven decision making; use dashboards as communication aids when appropriate.

Respond to ad hoc queries from senior stakeholders with timely, accurate analytical outputs and clearly articulated assumptions and limitations.

Frame core issues, develop and refine hypotheses, and design strategic analytics plans aligned to program and portfolio objectives in clinical operations.

Identify and evaluate relevant primary and secondary sources; synthesize quantitative and qualitative insights across multiple systems and datasets.

Provide expertise in exploratory, descriptive, and predictive analytics; design, implement, and evaluate machine learning models for classification, regression, clustering, and time-to-event problems as appropriate.

Maintain high quality standards under pressure, enforcing quality reviews, source assessment, and alignment to hypotheses to avoid non–value-add analysis.

Keep solutions at the leading edge by developing and applying ongoing knowledge of analytics trends, methodologies, and tools; contribute to the definition of ODS standards and best practices.

Define and guide best practices for data collection and preprocessing across databases, APIs, and files; partner effectively on ETL and data engineering handoffs.

Compile insights into figures, charts, and tables and craft concise narratives with strong vertical and horizontal logic for executive decision forums.

Present complex work to principals and cross-functional stakeholders; engage dynamically with feedback and tailor content to varied audiences; coach specialists on effective communication.

Build and manage effective relationships to ensure utilization and value of ODS analytics; provide training and advice on optimal use of key data and analyses.

Practice strong upward management with timely, comprehensive progress reporting; own workstreams end-to-end from hypothesis to presentation; guide others to do the same.

Model key leadership traits—integrity, commitment, initiative, personable engagement, adaptability, organization, time consciousness, creativity, and strategic thinking—and mentor others to adopt them.

Education, Qualifications, Skills and Experience

Essential:

Bachelor’s degree in computer science, data analysis, statistics, engineering, or a related discipline (or equivalent experience).

Master’s degree in computer science, data analysis, statistics, applied mathematics, or a relevant discipline (or equivalent experience).

Demonstrated expert knowledge of analytics and visualization tools such as Python, Power BI, and Spotfire, with emphasis on delivering advanced analytics outputs over dashboards.

Familiarity with database systems (SQL and NoSQL), ETL pipelines, cloud environments, and software development best practices, including reproducibility and version control.

Demonstrated experience developing complex data analyses in business and scientific domains, including Clinical Operations.

Excellent written and verbal communication skills in English, with the ability to clearly communicate uncertainties, assumptions, and limitations.

Strong understanding of data science principles, machine learning algorithms (classification, regression, clustering), statistical inference, and model evaluation methodologies.

Desired:

Experience working in Agile delivery environments and exposure to modern MLOps practices.

Evidence of process improvement and standard setting across analytics workflows, model governance, and stakeholder adoption.

Core Traits and Why They Are Critical Success Factors:

Critical Thinking: A deep, structured approach to problem solving enables precise problem framing, sound method selection, and unbiased interpretation—vital for transforming operational data into decisions that impact study timelines, quality, and cost.

Growth Mindset: Curiosity and a learning orientation ensure rapid adoption of new AI/ML techniques, data sources, and evolving business needs, keeping ODS solutions modern, scalable, and impactful across R&D.

Grit: Perseverance sustains momentum through complex data ecosystems, regulatory constraints, and cross-functional dependencies; it underpins delivery on long-running initiatives and in ambiguous contexts.

Resilience: The capacity to recover from challenges maintains performance under pressure, enables constructive responses to feedback, and fosters an evidence-first culture essential in high-stakes clinical environments.

Why AstraZeneca?:

Here, data science is inseparable from scientific ambition and patient impact. You will work at the intersection of digital, AI, and biology, helping research move faster from insight to action. Expect to collaborate with unexpected combinations of experts—clinical operators, statisticians, engineers, and scientists—often in the same room, collectively unlocking bold ideas. We value kindness alongside ambition, creating an environment where you can explore, learn, and make confident decisions with support from peers and leaders. Your work will influence a broad pipeline across multiple disease areas, translating operational data into choices that can ultimately reach patients worldwide.

If you are driven to turn rigorous analytics into decisions that speed life-changing medicines to patients, step into this role and shape what science can achieve next!

Where can I find out more?

Follow AstraZeneca on LinkedIn

https://www.linkedin.com/company/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en

Date Posted

15-Jun-2026

Closing Date

29-Jun-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Apply Now

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algorithm engineer jobs in cambridge

Senior Specialist, Data Science

Senior Software Development Engineer

Senior Software Engineer - Robot Software

Staff / Principal Software Engineer (Hardware Tools Automation/SRE)

Senior DSP Systems Engineer

Senior Compiler Engineer - Systems Team

Senior Drone Software Dev Engineer, Ring Robotics Platform Engineering

Senior Applied Scientist (Computer Vision), Camera and Sensors

Senior Analogue and RF Laboratory Characterisation Engineer

Chief Architect for Developer Tools - 802

(UK)Senior Engineer - AI Core services

FPGA Engineer - Consultant

Electronics Engineer - Consultant

Senior Design Verification Engineer

Senior Software Development Engineer C++

Senior Project Engineer

C++ Senior Software Development EngineeC

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