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Data Analyst

1 month ago

Edinburgh, Edinburgh, United Kingdom SRG Full time

SRG is seeking a highly skilled Data Analyst to support a busy time for a global biotechnology company.

This is a great opportunity for a graduate with skills in statistics, bioinformatics, programming, and data science.

The contract will be for 3-6 months, but may be extended.

The Role:

  • Provide bio-statistical consultation and support to the Assay Development team.
  • Prepare statistical data for inclusion in reports to the development team, QA/RA for inclusion in regulatory filings, managers, and executive management teams.
  • Provide statistical support for development activities, validation activities, and clinical studies.
  • Determine project plans, timelines, or technical objectives for statistical aspects of studies.
  • Interrogate performance data generated by the development team to draw conclusions and make predictions based on data summaries or statistical analyses.
  • Develop or implement data analysis scripts and programs.
  • Apply statistical techniques to data sets (i.e., ROC curves, CI, Bootstrapping) and implement data visualization.
  • Develop programs to visualize large data sets, such that process improvements can be more easily recognized.
  • Work closely with Quality and Regulatory Affairs personnel to create an appropriate statistical basis for validation plans, clinical trials, and other data required for regulatory submissions.
  • Work closely with external collaborators as required throughout the project.
  • Problem-solving and troubleshooting of scripts, and statistical issues.
  • Assist in the preparation of audit documentation.

Requirements:

  • MSc in a relevant scientific discipline is preferred. BSc graduates with relevant and proved experience will still be considered.
  • Knowledge of statistical packages.
  • Knowledge of Python, MATLAB, R, and willingness to learn new environments and technologies as required.
  • Experience with databases.
  • Data visualization and modeling.
  • Experience in documenting and testing computational code.