3 information technology jobs found in Reading

Early Career Information Scientist - Content Analytics & Data Science Type: Temporary Duration: 12 months Location: Slough (Hybrid - minimum 2 days onsite) Rate: (INSIDE IR35) - up to £22.40 per hour (PAYE) - up to £30.81 per hour (Umbrella) SRG are supporting a leading pharmaceutical company with a new contract opportunity for an Information Scientist to join a dynamic scientific information and intelligence team. This is an excellent opportunity for someone who is new to the industry or an early-career professional to develop expertise in data science, AI-enabled analytics, and scientific information management within an advanced R&D environment. Based in Slough with hybrid working options available, the role will focus on transforming scientific content and data into practical insights through programmatic and analytical approaches. Key Responsibilities Develop and maintain programmatic workflows to support scientific data analysis. Apply data science techniques...

Talentmark are recruiting for a Scientific Data Analyst to join a global pharmaceutical company on a contract basis initially for 12 months. This role is based predomiately at the client's site in Slough but with some home working.  Salary: £22.40 per hour PAYE, or £30.81 per hour Umbrella (inside IR35) Scientific Data Analyst role: Apply scientific knowledge alongside coding, data analysis, and AI-enabled methods to extract insights from biomedical literature and external data Develop and support programmatic workflows for scientific data analysis Apply data science techniques to extract trends and insights  Build automated pipelines for content analytics  Use AI and NLP tools for text mining and summarisation Your Background: Degree in life sciences, data science, a related field or have equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with...

The role will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. Additionally, the postholder will create publishable material based on the work carried out in the program, and attend events such as conferences and workshops to disseminate the progress made. Responsibilities: * Lead or substantially contribute to technical research workstreams...