Data scientist/engineer Work, Jobs in Cambridge, Eng (with Salaries)

Scientific Data Engineer
BIOVIA —Cambridge
- Doctoral degree
- CAD
- Data analysis skills
Computational Biologist
Cyted Health —Cambridge
- £45,000 - £60,000 a year
- Full-time
- Doctoral degree
- Master's degree
- University
- Life insurance
Corporate Research Lab (CRL) Scientist / Engineer - Early Career Program
Hexcel Corporation —Duxford
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
3d
Analytical Scientist
TaiSan —Cambridge
- £45,000 - £50,000 a year
- Full-time
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
Lead Data Engineer - Audience Measurement
Ipsos —Cambridge
- Management
- AWS
- Leadership
- Annual leave
Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom
Speechify —Cambridge
- Remote
- Doctoral degree
- Computer Science
- Master's degree
7d
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Research Scientist (Visual Generative AI & World Models)
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
Senior Numerical Physics / Applied Mathematician
PA Consulting —Melbourn
- Full-time
- Business development
- Business
- Communication skills
- Annual leave
Principal Bioinformatics Engineer
Tagomics —Cambridge
- Full-time
- Hybrid work
- Management
- Computer Science
- Data analysis skills
Quick apply
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
Research / Senior Scientist
Sortera Bio —Cambridge
- Doctoral degree
- Data analysis skills
- Assembly
Quick apply
12d
Senior Software Engineer, Windows/Desktop Applications - Cambridge, United Kingdom
Speechify —Cambridge
- Remote
- Windows
- C++
- Mentoring
7d
Principal Product Development Engineer
Klura Ltd —Haverhill
- £50,000 - £65,000 a year
- Full-time
- Up to 50% travel
- Engineering
- System design
- Free parking
- Employee stock purchase plan
Quick apply
5d
Project Engineer (NPD)
ghd hair —Cambridge
- Full-time
- CAD
- Engineering
- Laboratory experience
Quick apply
Senior Robotics & Lab Automation Engineer
Sartorius —Royston
- Full-time
- Hybrid work
- Doctoral degree
- Laboratory experience
- Master's degree
- Free parking
- Annual leave
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
1d
Senior Front-End Software Engineer
Cyted Health —Cambridge
- £58,000 - £72,000 a year
- Full-time
- Hybrid work
- AWS
- University
- APIs
- Life insurance
(UK)Principal Engineer - Test
Codvo.ai —Cambridge
- Azure
- Product management
- APIs

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data scientist/engineer jobs near cambridge, eng

Scientific Data Engineer

BIOVIA -
Cambridge

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Job details

Qualifications

Doctoral degree
CAD
NumPy
R
Data analysis skills
NoSQL
Master's degree
SQL
Pandas
Database management
Machine learning
NIST standards
Python

Full job description

The BIOVIA brand of Dassault Systèmes is seeking a highly motivated and skilled Scientific Data Specialist to join our team in expanding our cutting-edge scientific data and informatics platform. This platform empowers scientists and engineers to efficiently discover and select materials, substances, and formulations based on domain knowledge, directly integrating with CAD design, multi-physical simulations, and laboratory experiments. As a Scientific Data Engineer, you will play a crucial role in curating, validating, and ensuring the quality of our scientific database, making it a valuable resource for our users.

Role Description & Responsibilities:

Data Curation and Validation: Gather, clean, and validate scientific data from diverse sources, including peer-reviewed literature, domain databases, vendor catalogs, and experimental data. Implement rigorous quality control measures to ensure data accuracy, consistency, and completeness. Focus on Material domains and future expansion to other scientific domains
Database Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platform
Pipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sources
Data Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behaviours
Ontology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applications
Integration with Software Tools: Collaborate with software engineers to ensure seamless integration of the scientific database with CAD design software, multi-physical simulation tools, and laboratory information management systems (LIMS)
User Feedback and Validation: Gather feedback from users (scientists and engineers) to understand their needs and validate the usefulness and accuracy of the scientific data. Conduct user studies and analyse usage patterns to identify areas for improvement
Staying Current: Stay up-to-date with the latest advancements in relevant scientific domains, data science, and informatics to continuously improve our platform and data resources
Documentation: Maintain comprehensive documentation of data sources, validation procedures, and data models
Communication: Collaborate with global business and technical teams to understand data requirements and deliver reliable, high-quality data solutions that support downstream applications and analytics

Qualifications:

Master's or Ph.D. in Materials Science, Chemistry, Physics, Biology, Chemical Engineering, or a related scientific discipline with a strong emphasis on data analysis.
Proven experience in scientific data curation, validation, and analysis.
Strong understanding of domain-relevant properties, characterisation techniques, and substance or material selection processes.
Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar.
Experience with database management systems (SQL or NoSQL).
Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem, or ontologies developed by NIST or analogous bodies).
Experience with CAD software, multi-physical simulation tools, or LIMS is a plus.
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently and as part of a global team.

What’s in it for you?

Professional Growth: Opportunity to advance within the organization
Learning Environment: Access to training, workshops, and skill development
Collaboration: Work closely with cross-functional teams
Company Culture: Work in a culture of collaboration and innovation

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

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Refine Your Search

data scientist/engineer jobs in cambridge, eng

Scientific Data Engineer

Computational Biologist

Corporate Research Lab (CRL) Scientist / Engineer - Early Career Program

Agentic AI Engineer (life sciences)

Analytical Scientist

Lead Data Engineer - Audience Measurement

Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom

Applied Scientist, Edge AI and Science

Research Scientist (Visual Generative AI & World Models)

Senior Numerical Physics / Applied Mathematician

Principal Bioinformatics Engineer

Senior Applied Scientist (Computer Vision), Camera and Sensors

Research / Senior Scientist

Senior Software Engineer, Windows/Desktop Applications - Cambridge, United Kingdom

Principal Product Development Engineer

Project Engineer (NPD)

Senior Robotics & Lab Automation Engineer

Applied Scientist, Silicon and Systems Group Edge AI

Senior Front-End Software Engineer

(UK)Principal Engineer - Test

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