1 to 25 of 247 Pharmaceutical Jobs in the UK excluding London

In this role, you will define the product roadmap, align cross-functional teams, and ensure that our AI-driven solutions deliver measurable value to clinical operations teams across the pharma and biotech landscape. You will collaborate with cross-functional teams from tech and business to build agentic capabilities from concept to production. Key Responsibilities Product Strategy and Vision: Define and More ❯

skills, comfortable working with clients and non-technical stakeholders. Independent, self-motivated, and confident making decisions in a remote, fast-paced startup environment. Bonus points for: Background in healthcare, pharma, or academic research. Experience authoring or contributing to data-focused publications. Interest in applying AI/ML techniques to enhance analytical processes. Our team values autonomy, creativity, and technical excellence. More ❯

Bachelors or Masters degree in Computer Science, Engineering, Scientific or a related field. Experience in a similar IT/OT integration or lab informatics/digitalisation role within biotech, pharma, or CDMO environment. Proven hands-on experience integrating lab instruments with ELNs, LIMS, Scientific Data Management System (SDMS), or other data systems. Proficiency with data integration technologies and protocols: OPC More ❯

or Master's degree in Computer Science, Engineering, Scientific or a related field. Experience in a similar IT/OT integration or lab informatics/digitalisation role within biotech, pharma, or CDMO environment. Proven hands-on experience integrating lab instruments with ELNs, LIMS, Scientific Data Management System (SDMS), or other data systems. Proficiency with data integration technologies and protocols: OPC More ❯

team Strong communication skills in both German (native) and English Willingness to travel occasionally to different locations as needed Positive Side Effects. Why It’s Worth It: At CC Pharma, we live originality and quality — and we’re constantly working to improve our working conditions and processes. Here are just a few reasons why many qualified and motivated talents consciously More ❯

team Strong communication skills in both German (native) and English Willingness to travel occasionally to different locations as needed Positive Side Effects. Why It’s Worth It: At CC Pharma, we live originality and quality — and we’re constantly working to improve our working conditions and processes. Here are just a few reasons why many qualified and motivated talents consciously More ❯

team Strong communication skills in both German (native) and English Willingness to travel occasionally to different locations as needed Positive Side Effects. Why It’s Worth It: At CC Pharma, we live originality and quality — and we’re constantly working to improve our working conditions and processes. Here are just a few reasons why many qualified and motivated talents consciously More ❯

backgrounds and skillsets. Must have requirements: Minimum 3 years working in or around manufacturing. Either directly for a manufacturer or for a related supplier to manufacturers. Experience in the pharmaceutical, biotech, or medical device industry is advantageous but not essential. A background in one or more of the following; manufacturing, as an industrial pharmacist, or manufacturing-related engineering, Manufacturing IT More ❯

backgrounds and skillsets. Must have requirements: Minimum 3 years working in or around manufacturing. Either directly for a manufacturer or for a related supplier to manufacturers. Experience in the pharmaceutical, biotech, or medical device industry is advantageous but not essential. A background in one or more of the following; manufacturing, as an industrial pharmacist, or manufacturing-related engineering, Manufacturing IT More ❯

backgrounds and skillsets. Must have requirements: Minimum 3 years working in or around manufacturing. Either directly for a manufacturer or for a related supplier to manufacturers. Experience in the pharmaceutical, biotech, or medical device industry is advantageous but not essential. A background in one or more of the following; manufacturing, as an industrial pharmacist, or manufacturing-related engineering, Manufacturing IT More ❯

written and verbal communication skills, with the ability to articulate complex technical concepts and strategies to diverse audiences, including technical teams, business stakeholders, and executive leadership. Broad knowledge of Pharma industry processes, particularly within R&D, clinical development, or drug discovery, and familiarity with the regulatory, scientific, and operational challenges unique to the sector. Proven ability to lead and navigate More ❯

scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms.* Maintain clear documentation and contribute More ❯

git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML More ❯

git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML More ❯

logistic challenges today. Speed, product diversification, same-day delivery, volume, safety... these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries. Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent More ❯

logistic challenges today. Speed, product diversification, same-day delivery, volume, safety... these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries. Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent More ❯

logistic challenges today. Speed, product diversification, same-day delivery, volume, safety... these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries. Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent More ❯

Experience ?? Bachelor's degree in Engineering, Supply Chain, Business, Data, IT , or a related field. ?? 10+ years' experience as a Business Analyst within manufacturing, supply chain, medical devices, or pharma (strongly preferred). ?? Hands-on experience writing user stories, defining epics, and managing backlogs using JIRA or similar Agile tools. ?? Strong working knowledge of ERP (SAP/Oracle), MES, WMS More ❯

skills. Master's degree or higher in Life Sciences, Information Management, or a related field. Minimum 8 years of experience in research data/document management, preferably in the pharmaceutical or biotech industry. Proven experience with Electronic Lab Notebook and document management systems. Strong project management skills and experience leading cross-functional initiatives. Interact and communicate with all levels in More ❯

a fantastic opportunity to work at the intersection of technology and manufacturing, helping to deliver smarter, data-driven operations. 🔗 Interested? Apply now or reach out to learn more! Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age. More ❯

a fantastic opportunity to work at the intersection of technology and manufacturing, helping to deliver smarter, data-driven operations. 🔗 Interested? Apply now or reach out to learn more! Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age. More ❯

a fantastic opportunity to work at the intersection of technology and manufacturing, helping to deliver smarter, data-driven operations. 🔗 Interested? Apply now or reach out to learn more! Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age. More ❯

agile environments and delivering production-ready solutions Degree in a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to More ❯

agile environments and delivering production-ready solutions Degree in a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to More ❯

and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen More ❯