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Senior RWE Scientific Data Analyst

Cambridgeshire   •  Negotiable  •  Contract/Temporary, Full time


Senior RWE Scientific Data Analyst

  • Location: Remote
  • Start date: ASAP
  • Outside IR35
  • Duration of contract: 6 months
  • Day Rate: Up to 580 per day

Program and validate programming of Real World Evidence (RWE) dashboards using R and shiny. Conduct observational database SAS programming and statistical analysis of large observational databases aligned with RWE strategies, with minimal supervision.

Major Accountabilities (Describe the main results of the job to be achieved )

  • Lead the development of programming using languages such as SAS or R along with complex SQL queries to extract, clean, manage, and analyze large databases for health outcomes research. Data sources include medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
  • Provide guidance and translate the study design into algorithms to extract, analyze and report secondary data for Non-Interventional Studies (NIS) or interactive data visualization tools.
  • Collaborate with the RWE Research Analyst to scope and design projects.
  • Experienced in RWE tools such as R, R/shiny, SAS, Impala, git or JIRA.
  • Conduct observational data analyses including data management and statistical programming as well as the development of RWE dashboards.
  • Experienced in machine learning and data mining techniques such as random forest, GBM, logistic regression, SVM, deep learning.
  • Experience in dimensional reduction and R packages such as ggplot, plotly or t-sne.
  • Drive consistency and compliance with company standards of the project documentation for observational studies and interactive data visualization tools, including programming, specifications of analysis datasets, tables, figures and listings.
  • Conduct and enhance quality review in compliance with company standards and processes upon various stages of the projects.
  • Support, contribute and enhance standardization techniques in order to increase efficiency in deliverables.
  • Comply with project timelines together with the RWE Research Analyst and proactively alert the project manager or department leadership on any risks related to the deliverables and the timeline.
  • Interact and engage with the customers on a regular basis by providing regular updates on the project progress to ensure customer satisfaction.
  • Support department leadership and more senior level team members in the interaction with stakeholders, Regional Account Directors (RAD) medical experts, and strategy directors.
  • Independently present results, project summaries, and analytical techniques to customers, stakeholders and internal audiences.
  • Mentor and upskill more junior members of the team.
  • Assist the department leadership in the hiring process of new talent.

Minimum requirements:

4+ years of programming experience and proven technical abilities with data manipulation, analysis and visualization including SAS or R, SQL and other statistical software.

An interest in developing programming, statistical, visualization and analytical skills.

Prior experience using large transactional databases such as claims databases, EMR, registries or financial databases.

Exceptional problem-solving abilities with solid experience of statistical methods (regression, Anova, ttests, etc.).

Strong experience in SQL querying using at least one of the following Hive, Impala, MySQL, OracleSQL or

similar.

If you are interested please apply or send your CV to luke.sandilands@cpl.com

  • Agency: Cpl Life Sciences
  • Reference: JO-2207-497090
  • Posted: 18th July 2022
  • Expires: 15th August 2022

Cpl Life Sciences

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