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    Senior Data Analyst - Oxfordshire, United Kingdom - CINQ TECH

    CINQ TECH
    CINQ TECH Oxfordshire, United Kingdom

    1 week ago

    Default job background
    Pharmaceutical / Bio-tech
    Description

    Senior Data Analyst - Biotechnology

    Location: Oxford, UK

    Salary: £50-65k basic

    Job Description:

    Our client, an innovative biotechnology company is looking for a talented Senior Data Analyst to join their dynamic team dedicated to leveraging cutting-edge technology and data analytics to revolutionize healthcare and improve lives globally. The ideal candidate will play a pivotal role in driving data-driven decision-making processes within our organisation. As a Senior Data Analyst, you will play a critical role in extracting insights from complex datasets, guiding strategic decisions, and driving the advancement of our research and development efforts.

    Responsibilities:

    • Utilize advanced statistical techniques and machine learning algorithms to analyse large-scale biological and clinical datasets.
    • Collaborate closely with interdisciplinary teams including researchers, bioinformaticians, and software engineers to design and execute data-driven experiments and analyses.
    • Develop predictive models and algorithms to support drug discovery, biomarker identification, and clinical trial optimisation.
    • Provide actionable insights and recommendations to stakeholders through clear and compelling data visualisations, reports, and presentations.
    • Lead the development and implementation of data analysis best practices, ensuring accuracy, reproducibility, and scalability.
    • Stay abreast of emerging trends and technologies in data analytics, biotechnology, and healthcare to drive innovation and maintain a competitive edge.

    About you/key experience:Top of Form

    • Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, or a related field. PhD preferred.
    • Minimum of 5 years of experience in data analysis, preferably in the biotechnology or pharmaceutical industry.
    • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
    • Strong background in statistical analysis, machine learning, and data visualisation techniques.
    • Experience working with diverse biological data types such as genomics, proteomics, or imaging data is highly desirable.
    • Excellent communication and collaboration skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
    • Proven track record of leading and delivering impactful data analysis projects in a fast-paced, multidisciplinary environment.
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