Senior Data Analyst - Biotechnology
oxfordshire, england, United Kingdom
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.