Job Title: Senior Digital Technologist
Employment Type: Full-Time, Permanent
Salary: Up to £52,000 per annum (Depending on experience)
Location: Northeast England (Hybrid role)
We are working with a highly innovative organisation tasked to bring the UK to the forefront of innovation. This role sits within the Digital and Automation team and we are looking for a technical leader at the intersection of domain science and data science who has strong experience of developing Collaborative Research and Development (CR&D) bids.
This experience will be vital to support the business in solving complex problems in the formulation industries including pharmaceuticals, batteries, sustainability, nanotherapeutics, home and personal care, and food and feed. Using your background, you will, actively, and successfully, lead initiatives related to business development and collaborative research funding of which prior experience is an imperative.
The Role:
To plan, undertake, and lead digital projects.
To drive business and project growth using our digital capabilities.
To partner with relevant functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation.
Predictive Modelling & Machine Learning: Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties.
Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle size, viscosity, and other critical inline measurements for smarter, data-driven manufacturing.
Data Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals.
Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development.
Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions.
Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making.
Knowledge Management & Enterprise Systems: Developing ontologies, knowledge graphs, and robust database/version control systems to support reproducible research and enterprise-scale data integration.
Required experience:
Educated to a minimum of a foundation degree (or equivalent) in a Scientific/Mathematical/Engineering discipline, with industrial/academic experience at a senior level.
Significant, technical expertise in data science and evidence of complex technical problem-solving where it is necessary to use own initiative and judgement.
Hold significant knowledge and experience of coding languages typically used for data science (e.g. python, R, MATLAB).
Able to support/generate commercial and collaborative business on behalf the automation and digital team.
Exhibit professional mastery of principles and practices in data science techniques gained through your career to date in an area of specialism.
Demonstrate in-depth technical and theoretical knowledge in mathematics related to data science and is viewed as a specialist in this area by peers.
SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors.
As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients.
If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit to view our other vacancies.