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Carbon 60

Early Career) Information Scientist

Carbon 60 Slough
26 to 30.81
32 - 40 hour


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    Carbon 60

    Early Career) Information Scientist

    Carbon 60 Slough
    26 to 30.81
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £26 to £30.81
    Hours
    32 to 40 hours per week
    Employment type
    temporary

    Job description

    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 to identify trends, patterns, and insights from scientific information.
    Build and optimise automated pipelines for content analytics and data processing.
    Utilise AI and natural language processing (NLP) tools for text mining and summarisation activities.
    Collaborate with cross-functional stakeholders to support information and analytics projects.
    Contribute to data governance initiatives and responsible AI practices.Skills & Experience Required

    Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline.
    Basic programming skills with an interest in developing technical capabilities.
    Strong analytical and problem-solving skills with attention to detail.
    Interest in data-driven approaches to scientific research and information management.
    Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous.
    Familiarity with metadata, ontologies, or knowledge graphs would be beneficial.To Apply

    Please click and submit your profile and/or to discuss further, contact Theo Charles on (phone number removed)Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy
    Salary description

    £26.00 - £30.81 per hour

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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